Search broom methods

Broom

Find tidy(), augment(), and glance() methods for different objects.

Here are all the broom functions available across CRAN packages. Click on a title to open its documentation.

Apply Adaptive Synthetic Algorithm

function: tidy.step_adasyn package: themis

Apply ROSE Algorithm

function: tidy.step_rose package: themis

Apply SMOTE Algorithm

function: tidy.step_smote package: themis

Apply SMOTENC algorithm

function: tidy.step_smotenc package: themis

Apply borderline-SMOTE Algorithm

function: tidy.step_bsmote package: themis

Augment BVAR outputs and convert into a tibble

function: augment.bvar package: BVARverse

Augment BVAR outputs and convert into a tibble

function: augment.bvar_fcast package: BVARverse

Augment BVAR outputs and convert into a tibble

function: augment.bvar_irf package: BVARverse

Augment a beezdemand_fixed Model with Fitted Values and Residuals

function: augment.beezdemand_fixed package: beezdemand

Augment a beezdemand_hurdle Model with Fitted Values and Residuals

function: augment.beezdemand_hurdle package: beezdemand

Augment a beezdemand_nlme Model with Fitted Values and Residuals

function: augment.beezdemand_nlme package: beezdemand

Augment a coxphf object

function: augment.coxphf package: coxphf

Augment a data.frame with the results from average_curve_lm

function: augment.average_curve_lm package: cmstatrExt

Augment a data.frame with the results from average_curve_optim

function: augment.average_curve_optim package: cmstatrExt

Augment a mable

function: augment.mdl_df package: fabletools

Augment a mable

function: augment.mdl_lst package: fabletools

Augment a mable

function: augment.mdl_ts package: fabletools

Augment a model stack

function: augment.model_stack package: stacks

Augment a rulelist

function: augment.rulelist package: tidyrules

Augment an mvgam object's data

function: augment.mvgam package: mvgam

Augment data frame with information derived from the model fit (broom package).

function: augment.mlwinfitIGLS package: R2MLwiN

Augment data frame with information derived from the model fit (broom package).

function: augment.mlwinfitMCMC package: R2MLwiN

Augment data from an ipd fit

function: augment.ipd package: ipd

Augment data with dr4pl

function: augment.dr4pl package: dr4pl

Augment data with holdout predictions

function: augment.tune_results package: tune

Augment data with holdout predictions

function: augment.resample_results package: tune

Augment data with holdout predictions

function: augment.last_fit package: tune

Augment data with information from a cosinor object

function: augment.cosinor package: card

Augment data with information from a flexsurv model object

function: augment.flexsurvreg package: flexsurv

Augment data with information from a graph_lme object

function: augment.graph_lme package: MetricGraph

Augment data with information from a gt_dapc object

function: augment.gt_dapc package: tidypopgen

Augment data with information from a gt_pca object

function: augment.gt_pca package: tidypopgen

Augment data with information from a mixpoissonreg object

function: augment.mixpoissonreg package: mixpoissonreg

Augment data with information from a q_matrix object

function: augment.q_matrix package: tidypopgen

Augment data with information from a(n) Mclust object

function: augment.Mclust package: broom

Augment data with information from a(n) betamfx object

function: augment.betamfx package: broom

Augment data with information from a(n) betareg object

function: augment.betareg package: broom

Augment data with information from a(n) clm object

function: augment.clm package: broom

Augment data with information from a(n) coxph object

function: augment.coxph package: broom

Augment data with information from a(n) decomposed.ts object

function: augment.decomposed.ts package: broom

Augment data with information from a(n) drc object

function: augment.drc package: broom

Augment data with information from a(n) factanal object

function: augment.factanal package: broom

Augment data with information from a(n) felm object

function: augment.felm package: broom

Augment data with information from a(n) fixest object

function: augment.fixest package: broom

Augment data with information from a(n) gam object

function: augment.gam package: broom

Augment data with information from a(n) glm object

function: augment.glm package: broom

Augment data with information from a(n) glmRob object

function: augment.glmRob package: broom

Augment data with information from a(n) glmrob object

function: augment.glmrob package: broom

Augment data with information from a(n) htest object

function: augment.htest package: broom

Augment data with information from a(n) ivreg object

function: augment.ivreg package: broom

Augment data with information from a(n) kmeans object

function: augment.kmeans package: broom

Augment data with information from a(n) lm object

function: augment.lm package: broom

Augment data with information from a(n) lmRob object

function: augment.lmRob package: broom

Augment data with information from a(n) lmrob object

function: augment.lmrob package: broom

Augment data with information from a(n) mfx object

function: augment.mfx package: broom

Augment data with information from a(n) mfx object

function: augment.logitmfx package: broom

Augment data with information from a(n) mfx object

function: augment.negbinmfx package: broom

Augment data with information from a(n) mfx object

function: augment.poissonmfx package: broom

Augment data with information from a(n) mfx object

function: augment.probitmfx package: broom

Augment data with information from a(n) mjoint object

function: augment.mjoint package: broom

Augment data with information from a(n) mlogit object

function: augment.mlogit package: broom

Augment data with information from a(n) nls object

function: augment.nls package: broom

Augment data with information from a(n) pam object

function: augment.pam package: broom

Augment data with information from a(n) plm object

function: augment.plm package: broom

Augment data with information from a(n) poLCA object

function: augment.poLCA package: broom

Augment data with information from a(n) polr object

function: augment.polr package: broom

Augment data with information from a(n) prcomp object

function: augment.prcomp package: broom

Augment data with information from a(n) rlm object

function: augment.rlm package: broom

Augment data with information from a(n) rma object

function: augment.rma package: broom

Augment data with information from a(n) rq object

function: augment.rq package: broom

Augment data with information from a(n) rqs object

function: augment.rqs package: broom

Augment data with information from a(n) spatialreg object

function: augment.sarlm package: broom

Augment data with information from a(n) speedlm object

function: augment.speedlm package: broom

Augment data with information from a(n) stl object

function: augment.stl package: broom

Augment data with information from a(n) survreg object

function: augment.survreg package: broom

Augment data with information from an mnr object

function: augment.mnr package: cmstatr

Augment data with information from fitted model objects

function: augment.spmodel package: spmodel

Augment data with information from fitted model objects

function: augment.splm package: spmodel

Augment data with information from fitted model objects

function: augment.spautor package: spmodel

Augment data with information from fitted model objects

function: augment.spglm package: spmodel

Augment data with information from fitted model objects

function: augment.spgautor package: spmodel

Augment data with information from fitted model objects

function: augment.SSN2 package: SSN2

Augment data with information from fitted model objects

function: augment.ssn_lm package: SSN2

Augment data with information from fitted model objects

function: augment.ssn_glm package: SSN2

Augment data with predicted discount functions and yield curves

function: augment.ycevo package: ycevo

Augment data with predictions

function: augment.model_fit package: parsnip

Augment data with predictions

function: augment.cluster_fit package: tidyclust

Augment data with predictions

function: augment.workflow package: workflows

Augment function for class backward

function: augment.backward package: smimodel

Augment function for class gaimFit

function: augment.gaimFit package: smimodel

Augment function for class gamFit

function: augment.gamFit package: smimodel

Augment function for class lmFit

function: augment.lmFit package: smimodel

Augment function for class pprFit

function: augment.pprFit package: smimodel

Augment function for class smimodel

function: augment.smimodel package: smimodel

Augment function for class smimodelFit

function: augment.smimodelFit package: smimodel

Augment method for tidylda objects

function: augment.tidylda package: tidylda

Augment new data with control-chart annotations

function: augment.shewhart_chart package: shewhartr

Augment using orbital objects

function: augment.orbital_class package: orbital

Augmentation for random effects (for caterpillar plots etc.)

function: augment.ranef.mer package: broom.mixed

Augmented Data from fitdists Object

function: augment.fitdists package: ssdtools

Augmented prediction for breathtest fit

function: augment.breathtestfit package: breathtestcore

BPE Tokenization of Character Variables

function: tidy.step_tokenize_bpe package: textrecipes

Binomial regression

function: glance.binomreg package: micsr

Broom Integration

function: augment.feglm package: capybara

Broom Integration

function: augment.felm package: capybara

Broom Integration

function: glance.feglm package: capybara

Broom Integration

function: glance.felm package: capybara

Broom Integration

function: tidy.feglm package: capybara

Broom Integration

function: tidy.felm package: capybara

Broom Related Methods

function: glance.nestedLogit package: nestedLogit

Broom Related Methods

function: tidy.nestedLogit package: nestedLogit

Broom extensions for summ objects

function: tidy.summ package: jtools

Broom extensions for summ objects

function: tidy.summ.merMod package: jtools

Broom extensions for summ objects

function: glance.summ.lm package: jtools

Broom extensions for summ objects

function: glance.summ.glm package: jtools

Broom extensions for summ objects

function: glance.summ.svyglm package: jtools

Broom extensions for summ objects

function: glance.summ.merMod package: jtools

Broom extensions for summ objects

function: glance.summ.rq package: jtools

Broom methods for tidy cuminc objects

function: tidy.tidycuminc package: tidycmprsk

Broom methods for tidy cuminc objects

function: glance.tidycuminc package: tidycmprsk

Broom methods for tidycrr objects

function: tidy.tidycrr package: tidycmprsk

Broom methods for tidycrr objects

function: glance.tidycrr package: tidycmprsk

Broom methods for tidycrr objects

function: augment.tidycrr package: tidycmprsk

Broom-style tidying methods for breathtestfit

function: tidy.breathtestfit package: breathtestcore

Calculate LDA Dimension Estimates of Tokens

function: tidy.step_lda package: textrecipes

Calculate Set of Text Features

function: tidy.step_textfeature package: textrecipes

Change a model's tidy output

function: tidy.tidy_override package: huxtable

Change a model's tidy output

function: glance.tidy_override package: huxtable

Class "birdie" of BIRDiE Models

function: tidy.birdie package: birdie

Class "birdie" of BIRDiE Models

function: glance.birdie package: birdie

Class "birdie" of BIRDiE Models

function: augment.birdie package: birdie

Clean Categorical Levels

function: tidy.step_clean_levels package: textrecipes

Clean Variable Names

function: tidy.step_clean_names package: textrecipes

Combine Multiple Token Variables Into One

function: tidy.step_tokenmerge package: textrecipes

Computation of the vector field

function: tidy.field3logit package: plot3logit

Compute analysis of variance and likelihood ratio tests of fitted model objects

function: tidy.anova.splm package: spmodel

Compute analysis of variance and likelihood ratio tests of fitted model objects

function: tidy.anova.spautor package: spmodel

Compute analysis of variance and likelihood ratio tests of fitted model objects

function: tidy.anova.spglm package: spmodel

Compute analysis of variance and likelihood ratio tests of fitted model objects

function: tidy.anova.spgautor package: spmodel

Compute analysis of variance and likelihood ratio tests of fitted model objects

function: tidy.anova.ssn_lm package: SSN2

Compute analysis of variance and likelihood ratio tests of fitted model objects

function: tidy.anova.ssn_glm package: SSN2

Confusion Matrix for Categorical Data

function: tidy.conf_mat package: yardstick

Construct a single row summary "glance" of a model, fit, or other object

function: glance.model_fit package: parsnip

Construct a single row summary "glance" of a model, fit, or other object

function: glance.cluster_fit package: tidyclust

Convert a cross-price model to a tidy data frame of coefficients

function: tidy.cp_model_nls package: beezdemand

Creates a data.frame for a log-likelihood object

function: tidy.logLik package: RMediation

Custom tidy method for STEP results

function: tidy.step package: tern

Custom tidy method for binomial GLM results

function: tidy.glm package: tern

Custom tidy methods for Cox regression

function: tidy.summary.coxph package: tern

Custom tidy methods for Cox regression

function: tidy.coxreg.univar package: tern

Custom tidy methods for Cox regression

function: tidy.coxreg.multivar package: tern

Discretize numeric variables with CART

function: tidy.step_discretize_cart package: embed

Discretize numeric variables with XgBoost

function: tidy.step_discretize_xgb package: embed

Down-Sample a Data Set Based on a Factor Variable

function: tidy.step_downsample package: themis

Encoding Factors into Multiple Columns

function: tidy.step_embed package: embed

Extract Data and Modeled Values

function: augment.bage_mod package: bage

Extract GOF measures from a statistical object (broom package).

function: glance.mlwinfitIGLS package: R2MLwiN

Extract GOF measures from a statistical object (broom package).

function: glance.mlwinfitMCMC package: R2MLwiN

Extract Posterior Distributions for Models

function: tidy.perf_mod package: tidyposterior

Extract coefficients from a linear cross-price model in tidy format

function: tidy.cp_model_lm package: beezdemand

Extract coefficients from a mixed-effects cross-price model in tidy format

function: tidy.cp_model_lmer package: beezdemand

Extract model coefficients from a mable

function: tidy.mdl_df package: fabletools

Extract model coefficients from a mable

function: tidy.mdl_lst package: fabletools

Extract model coefficients from a mable

function: tidy.mdl_ts package: fabletools

Extract tidy estimates from survinger objects

function: tidy.surv package: survinger

Extract tidy estimates from survinger objects

function: tidy.surv_prevalence package: survinger

Extract tidy estimates from survinger objects

function: tidy.surv_nowcast package: survinger

Extract tidy estimates from survinger objects

function: tidy.surv_adjusted package: survinger

Extract tidy estimates from survinger objects

function: tidy.surv_allocation package: survinger

Extract tidy estimates from survinger objects

function: tidy.surv_delay_fit package: survinger

Feature Hashing of Tokens

function: tidy.step_texthash package: textrecipes

Feature aggregation step based on a defined list

function: tidy.step_aggregate_list package: scimo

Feature aggregation step based on a hierarchical clustering

function: tidy.step_aggregate_hclust package: scimo

Feature normalization step using total sum scaling

function: tidy.step_rownormalize_tss package: scimo

Feature selection step using Kruskal test

function: tidy.step_select_kruskal package: scimo

Feature selection step using Wilcoxon test

function: tidy.step_select_wilcoxon package: scimo

Feature selection step using background level

function: tidy.step_select_background package: scimo

Feature selection step using the coefficient of variation

function: tidy.step_select_cv package: scimo

Filter Tokens Based on Term Frequency

function: tidy.step_tokenfilter package: textrecipes

Filtering of Stop Words for Tokens Variables

function: tidy.step_stopwords package: textrecipes

Fit Empirical Coefficients

function: tidy.edwards_fit_base package: edwards97

Fit Empirical Coefficients

function: glance.edwards_fit_base package: edwards97

Form a tidy data frame from the estimates from a disbayes fit

function: tidy.disbayes package: disbayes

Form a tidy data frame from the estimates from a disbayes fit

function: tidy.disbayes_hier package: disbayes

Generate n-grams From Token Variables

function: tidy.step_ngram package: textrecipes

Get a tibble summarizing each distribution

function: glance.fitdists package: ssdtools

Get model summaries from a cross-price model

function: glance.cp_model_nls package: beezdemand

Get model summaries from a linear cross-price model

function: glance.cp_model_lm package: beezdemand

Get model summaries from a mixed-effects cross-price model

function: glance.cp_model_lmer package: beezdemand

Get the rulelist from a C5 model

function: tidy.C5.0 package: tidyrules

Get the rulelist from a cubist model

function: tidy.cubist package: tidyrules

Get the rulelist from a party model

function: tidy.constparty package: tidyrules

Get the rulelist from a rpart model

function: tidy.rpart package: tidyrules

Glance

function: glance.harsm package: ohenery

Glance

function: glance.hensm package: ohenery

Glance Method for beezdemand_fixed

function: glance.beezdemand_fixed package: beezdemand

Glance Method for beezdemand_systematicity

function: glance.beezdemand_systematicity package: beezdemand

Glance a mable

function: glance.mdl_df package: fabletools

Glance a mable

function: glance.mdl_lst package: fabletools

Glance a mable

function: glance.mdl_ts package: fabletools

Glance at a PMRM.

function: glance.pmrm_fit package: pmrm

Glance at a Shewhart chart's overall diagnostics

function: glance.shewhart_chart package: shewhartr

Glance at a adk (Anderson--Darling k-Sample) object

function: glance.adk package: cmstatr

Glance at a basis object

function: glance.basis package: cmstatr

Glance at a beezdemand_hurdle Model

function: glance.beezdemand_hurdle package: beezdemand

Glance at a coxphf object

function: glance.coxphf package: coxphf

Glance at a dcce_fit object

function: glance.dcce_fit package: dcce

Glance at a equiv_change_mean object

function: glance.equiv_change_mean package: cmstatr

Glance at a fitted model object

function: glance.spmodel package: spmodel

Glance at a fitted model object

function: glance.splm package: spmodel

Glance at a fitted model object

function: glance.spautor package: spmodel

Glance at a fitted model object

function: glance.spglm package: spmodel

Glance at a fitted model object

function: glance.spgautor package: spmodel

Glance at a fitted model object

function: glance.SSN2 package: SSN2

Glance at a fitted model object

function: glance.ssn_lm package: SSN2

Glance at a fitted model object

function: glance.ssn_glm package: SSN2

Glance at a flexsurv model object

function: glance.flexsurvreg package: flexsurv

Glance at a graph_lme object

function: glance.graph_lme package: MetricGraph

Glance at a levene object

function: glance.levene package: cmstatr

Glance at a mixpoissonreg object

function: glance.mixpoissonreg package: mixpoissonreg

Glance at a mnr (maximum normed residual) object

function: glance.mnr package: cmstatr

Glance at a qgcompfit object

function: glance.qgcompfit package: qgcomp

Glance at a workflow model

function: glance.workflow package: workflows

Glance at a(n) Arima object

function: glance.Arima package: broom

Glance at a(n) Gam object

function: glance.Gam package: broom

Glance at a(n) Mclust object

function: glance.Mclust package: broom

Glance at a(n) aareg object

function: glance.aareg package: broom

Glance at a(n) anova object

function: glance.anova package: broom

Glance at a(n) betamfx object

function: glance.betamfx package: broom

Glance at a(n) betareg object

function: glance.betareg package: broom

Glance at a(n) biglm object

function: glance.biglm package: broom

Glance at a(n) binDesign object

function: glance.binDesign package: broom

Glance at a(n) cch object

function: glance.cch package: broom

Glance at a(n) clm object

function: glance.clm package: broom

Glance at a(n) clmm object

function: glance.clmm package: broom

Glance at a(n) coeftest object

function: glance.coeftest package: broom

Glance at a(n) coxph object

function: glance.coxph package: broom

Glance at a(n) crr object

function: glance.crr package: broom

Glance at a(n) cv.glmnet object

function: glance.cv.glmnet package: broom

Glance at a(n) drc object

function: glance.drc package: broom

Glance at a(n) ergm object

function: glance.ergm package: broom

Glance at a(n) factanal object

function: glance.factanal package: broom

Glance at a(n) felm object

function: glance.felm package: broom

Glance at a(n) fitdistr object

function: glance.fitdistr package: broom

Glance at a(n) fixest object

function: glance.fixest package: broom

Glance at a(n) gam object

function: glance.gam package: broom

Glance at a(n) geeglm object

function: glance.geeglm package: broom

Glance at a(n) glm object

function: glance.glm package: broom

Glance at a(n) glmRob object

function: glance.glmRob package: broom

Glance at a(n) glmnet object

function: glance.glmnet package: broom

Glance at a(n) gmm object

function: glance.gmm package: broom

Glance at a(n) ivreg object

function: glance.ivreg package: broom

Glance at a(n) kmeans object

function: glance.kmeans package: broom

Glance at a(n) lavaan object

function: glance.lavaan package: broom

Glance at a(n) lm object

function: glance.aov package: broom

Glance at a(n) lm object

function: glance.lm package: broom

Glance at a(n) lmRob object

function: glance.lmRob package: broom

Glance at a(n) lmodel2 object

function: glance.lmodel2 package: broom

Glance at a(n) lmrob object

function: glance.lmrob package: broom

Glance at a(n) margins object

function: glance.margins package: broom

Glance at a(n) mfx object

function: glance.mfx package: broom

Glance at a(n) mfx object

function: glance.logitmfx package: broom

Glance at a(n) mfx object

function: glance.negbinmfx package: broom

Glance at a(n) mfx object

function: glance.poissonmfx package: broom

Glance at a(n) mfx object

function: glance.probitmfx package: broom

Glance at a(n) mjoint object

function: glance.mjoint package: broom

Glance at a(n) mlogit object

function: glance.mlogit package: broom

Glance at a(n) muhaz object

function: glance.muhaz package: broom

Glance at a(n) multinom object

function: glance.multinom package: broom

Glance at a(n) negbin object

function: glance.negbin package: broom

Glance at a(n) nlrq object

function: glance.nlrq package: broom

Glance at a(n) nls object

function: glance.nls package: broom

Glance at a(n) pam object

function: glance.pam package: broom

Glance at a(n) plm object

function: glance.plm package: broom

Glance at a(n) poLCA object

function: glance.poLCA package: broom

Glance at a(n) polr object

function: glance.polr package: broom

Glance at a(n) pyears object

function: glance.pyears package: broom

Glance at a(n) ridgelm object

function: glance.ridgelm package: broom

Glance at a(n) rlm object

function: glance.rlm package: broom

Glance at a(n) rma object

function: glance.rma package: broom

Glance at a(n) rq object

function: glance.rq package: broom

Glance at a(n) spatialreg object

function: glance.sarlm package: broom

Glance at a(n) speedglm object

function: glance.speedglm package: broom

Glance at a(n) speedlm object

function: glance.speedlm package: broom

Glance at a(n) summary.lm object

function: glance.summary.lm package: broom

Glance at a(n) survdiff object

function: glance.survdiff package: broom

Glance at a(n) survexp object

function: glance.survexp package: broom

Glance at a(n) survfit object

function: glance.survfit package: broom

Glance at a(n) survreg object

function: glance.survreg package: broom

Glance at a(n) svyglm object

function: glance.svyglm package: broom

Glance at a(n) svyolr object

function: glance.svyolr package: broom

Glance at a(n) varest object

function: glance.varest package: broom

Glance at an Spat* object

function: glance.Spat package: tidyterra

Glance at an Spat* object

function: glance.SpatRaster package: tidyterra

Glance at an Spat* object

function: glance.SpatVector package: tidyterra

Glance at an anderson_darling object

function: glance.anderson_darling package: cmstatr

Glance at an equiv_mean_extremum object

function: glance.equiv_mean_extremum package: cmstatr

Glance at an estimatr object

function: glance.lm_robust package: estimatr

Glance at an estimatr object

function: glance.lh_robust package: estimatr

Glance at an estimatr object

function: glance.iv_robust package: estimatr

Glance at an estimatr object

function: glance.difference_in_means package: estimatr

Glance at an estimatr object

function: glance.horvitz_thompson package: estimatr

Glance at an ipd fit

function: glance.ipd package: ipd

Glance at an lm_sql_result

function: glance.lm_sql_result package: sqlm

Glance at an mlm object

function: glance.mlm package: heplots

Glance at goodness-of-fit statistics

function: glance.CR2 package: CR2

Glance at goodness-of-fit statistics

function: glance.CR2 package: MLMusingR

Glance method for beezdemand_nlme

function: glance.beezdemand_nlme package: beezdemand

Glance method for tidylda objects

function: glance.tidylda package: tidylda

Glance summary for NMAR results

function: glance.nmar_result package: NMAR

Helper function to allow use with modelsummary

function: tidy.mixPV package: MLMusingR

Indicate Recurrent Date Time Event

function: tidy.step_time_event package: extrasteps

Indicator Variables via Feature Hashing

function: tidy.step_dummy_hash package: textrecipes

Lemmatization of Token Variables

function: tidy.step_lemma package: textrecipes

Likelihood encoding using analytical formula

function: tidy.step_lencode package: embed

Methods for polyreg objects

function: tidy.polyreg package: cifmodeling

Methods for polyreg objects

function: glance.polyreg package: cifmodeling

Methods for polyreg objects

function: augment.polyreg package: cifmodeling

Multiple trilogit fields

function: tidy.multifield3logit package: plot3logit

Normalization of Character Variables

function: tidy.step_text_normalization package: textrecipes

One-row summary of survinger model

function: glance.surv package: survinger

One-row summary of survinger model

function: glance.surv_prevalence package: survinger

One-row summary of survinger model

function: glance.surv_delay_fit package: survinger

One-row summary of survinger model

function: glance.surv_adjusted package: survinger

Part of Speech Filtering of Token Variables

function: tidy.step_pos_filter package: textrecipes

Perform Max Abs Scaling

function: tidy.step_maxabs package: extrasteps

Perform Min Max Scaling

function: tidy.step_minmax package: extrasteps

Perform Robust Scaling

function: tidy.step_robust package: extrasteps

Perform Unit Normalization

function: tidy.step_unit_normalize package: extrasteps

Perform binary encoding of factor variables

function: tidy.step_encoding_binary package: extrasteps

Perform frequency encoding

function: tidy.step_encoding_frequency package: extrasteps

Positional One-Hot encoding of Tokens

function: tidy.step_sequence_onehot package: textrecipes

Post new data to a deployed SageMaker model endpoint and augment with predictions

function: augment.vetiver_endpoint_sagemaker package: vetiver

Post new data to a deployed model API endpoint and augment with predictions

function: augment.vetiver_endpoint package: vetiver

Predict using TabPFN

function: augment.tab_pfn package: tabpfn

Pretrained Word Embeddings of Tokens

function: tidy.step_word_embeddings package: textrecipes

Provide tidy output from a std_custom object for use in downstream computations

function: tidy.std_custom package: stdReg2

Provide tidy output from a std_glm object for use in downstream computations

function: tidy.std_glm package: stdReg2

Provide tidy output from a std_surv object for use in downstream computations

function: tidy.std_surv package: stdReg2

Remove Points Near Other Classes

function: tidy.step_nearmiss package: themis

Remove Tomek’s Links

function: tidy.step_tomek package: themis

Sentencepiece Tokenization of Character Variables

function: tidy.step_tokenize_sentencepiece package: textrecipes

Sparse Bayesian PCA Signal Extraction

function: tidy.step_pca_sparse_bayes package: embed

Sparse PCA Signal Extraction

function: tidy.step_pca_sparse package: embed

Stemming of Token Variables

function: tidy.step_stem package: textrecipes

Summaries of alignments

function: glance.phyDat package: phangorn

Summarises information about the components of a model from a statistical object (broom package).

function: tidy.mlwinfitIGLS package: R2MLwiN

Summarises information about the components of a model from a statistical object (broom package).

function: tidy.mlwinfitMCMC package: R2MLwiN

Summarize Terms from a Fitted Model

function: tidy.bage_mod package: bage

Supervised Collapsing of Factor Levels

function: tidy.step_collapse_cart package: embed

Supervised Factor Conversions into Linear Functions using Bayesian Likelihood Encodings

function: tidy.step_lencode_bayes package: embed

Supervised Factor Conversions into Linear Functions using Bayesian Likelihood Encodings

function: tidy.step_lencode_mixed package: embed

Supervised Factor Conversions into Linear Functions using Likelihood Encodings

function: tidy.step_lencode_glm package: embed

Supervised and unsupervised uniform manifold approximation and projection (UMAP)

function: tidy.step_umap package: embed

Tabulation of Least Square Means Results

function: tidy.tern_model package: junco

Tabulation of MMRM Results

function: tidy.tern_mmrm package: tern.mmrm

Taxonomic clades feature generator

function: tidy.step_taxonomy package: scimo

Term Frequency-Inverse Document Frequency of Tokens

function: tidy.step_tfidf package: textrecipes

Term frequency of Tokens

function: tidy.step_tf package: textrecipes

Tidier methods for Julia regression models

function: tidy.jlmer_mod package: jlmerclusterperm

Tidier methods for Julia regression models

function: glance.jlmer_mod package: jlmerclusterperm

Tidiers for 'tbl_ord' objects

function: tidy.tbl_ord package: ordr

Tidiers for 'tbl_ord' objects

function: glance.tbl_ord package: ordr

Tidiers for LDA and CTM objects from the topicmodels package

function: tidy.LDA package: tidytext

Tidiers for LDA and CTM objects from the topicmodels package

function: tidy.CTM package: tidytext

Tidiers for LDA and CTM objects from the topicmodels package

function: augment.LDA package: tidytext

Tidiers for LDA and CTM objects from the topicmodels package

function: augment.CTM package: tidytext

Tidiers for LDA and CTM objects from the topicmodels package

function: glance.LDA package: tidytext

Tidiers for LDA and CTM objects from the topicmodels package

function: glance.CTM package: tidytext

Tidiers for Latent Dirichlet Allocation models from the mallet package

function: tidy.jobjRef package: tidytext

Tidiers for Latent Dirichlet Allocation models from the mallet package

function: augment.jobjRef package: tidytext

Tidiers for NULL inputs

function: tidy.NULL package: broom

Tidiers for NULL inputs

function: glance.NULL package: broom

Tidiers for NULL inputs

function: augment.NULL package: broom

Tidiers for Structural Topic Models from the stm package

function: tidy.STM package: tidytext

Tidiers for Structural Topic Models from the stm package

function: tidy.estimateEffect package: tidytext

Tidiers for Structural Topic Models from the stm package

function: glance.estimateEffect package: tidytext

Tidiers for Structural Topic Models from the stm package

function: augment.STM package: tidytext

Tidiers for Structural Topic Models from the stm package

function: glance.STM package: tidytext

Tidiers for a corpus object from the quanteda package

function: tidy.corpus package: tidytext

Tidiers for a corpus object from the quanteda package

function: glance.corpus package: tidytext

Tidiers for cluster permutation test objects

function: tidy.timewise_statistics package: jlmerclusterperm

Tidiers for cluster permutation test objects

function: tidy.empirical_clusters package: jlmerclusterperm

Tidiers for cluster permutation test objects

function: tidy.null_cluster_dists package: jlmerclusterperm

Tidiers for data.frame objects

function: tidy.data.frame package: broom

Tidiers for data.frame objects

function: augment.data.frame package: broom

Tidiers for data.frame objects

function: glance.data.frame package: broom

Tidiers for sim_margins() objects.

function: tidy.sim_margins package: interactions

Tidiers for sim_margins() objects.

function: glance.sim_margins package: interactions

Tidiers for sim_slopes() objects.

function: tidy.sim_slopes package: interactions

Tidiers for sim_slopes() objects.

function: glance.sim_slopes package: interactions

Tidy

function: tidy.harsm package: ohenery

Tidy

function: tidy.hensm package: ohenery

Tidy BVAR outputs and convert into a tibble

function: tidy.bvar package: BVARverse

Tidy BVAR outputs and convert into a tibble

function: tidy.bvar_coefs package: BVARverse

Tidy BVAR outputs and convert into a tibble

function: tidy.bvar_fcast package: BVARverse

Tidy BVAR outputs and convert into a tibble

function: tidy.bvar_irf package: BVARverse

Tidy DocumentTermMatrix, TermDocumentMatrix, and related objects from the tm package

function: tidy.DocumentTermMatrix package: tidytext

Tidy DocumentTermMatrix, TermDocumentMatrix, and related objects from the tm package

function: tidy.TermDocumentMatrix package: tidytext

Tidy DocumentTermMatrix, TermDocumentMatrix, and related objects from the tm package

function: tidy.dfm package: tidytext

Tidy DocumentTermMatrix, TermDocumentMatrix, and related objects from the tm package

function: tidy.dfmSparse package: tidytext

Tidy DocumentTermMatrix, TermDocumentMatrix, and related objects from the tm package

function: tidy.simple_triplet_matrix package: tidytext

Tidy Method for beezdemand_fixed

function: tidy.beezdemand_fixed package: beezdemand

Tidy Method for beezdemand_systematicity

function: tidy.beezdemand_systematicity package: beezdemand

Tidy Method for empirical_power_result

function: tidy.empirical_power_result package: ssutil

Tidy Resampling Object

function: tidy.rsplit package: rsample

Tidy Resampling Object

function: tidy.rset package: rsample

Tidy Resampling Object

function: tidy.vfold_cv package: rsample

Tidy Resampling Object

function: tidy.nested_cv package: rsample

Tidy a CR2 object

function: tidy.CR2 package: CR2

Tidy a CR2 object

function: tidy.CR2 package: MLMusingR

Tidy a Corpus object from the tm package

function: tidy.Corpus package: tidytext

Tidy a Q matrix

function: tidy.q_matrix package: tidypopgen

Tidy a beezdemand_hurdle Model

function: tidy.beezdemand_hurdle package: beezdemand

Tidy a bolasso object

function: tidy.bolasso package: bolasso

Tidy a coxphf object

function: tidy.coxphf package: coxphf

Tidy a dcce_fit object

function: tidy.dcce_fit package: dcce

Tidy a ds_radf object

function: tidy.ds_radf package: exuber

Tidy a fitted PMRM.

function: tidy.pmrm_fit package: pmrm

Tidy a fitted model object

function: tidy.spmodel package: spmodel

Tidy a fitted model object

function: tidy.splm package: spmodel

Tidy a fitted model object

function: tidy.spautor package: spmodel

Tidy a fitted model object

function: tidy.spglm package: spmodel

Tidy a fitted model object

function: tidy.spgautor package: spmodel

Tidy a fitted model object

function: tidy.SSN2 package: SSN2

Tidy a fitted model object

function: tidy.ssn_lm package: SSN2

Tidy a fitted model object

function: tidy.ssn_glm package: SSN2

Tidy a flexCountReg object

function: tidy.flexCountReg package: flexCountReg

Tidy a flexsurv model object

function: tidy.flexsurvreg package: flexsurv

Tidy a gt_dapc object

function: tidy.gt_dapc package: tidypopgen

Tidy a gt_pca object

function: tidy.gt_pca package: tidypopgen

Tidy a matrix from a tidylda topic model

function: tidy.tidylda package: tidylda

Tidy a matrix from a tidylda topic model

function: tidy.matrix package: tidylda

Tidy a mixpoissonreg object

function: tidy.mixpoissonreg package: mixpoissonreg

Tidy a radf_cv object

function: tidy.radf_cv package: exuber

Tidy a radf_cv object

function: augment.radf_cv package: exuber

Tidy a radf_distr object

function: tidy.radf_distr package: exuber

Tidy a radf_obj object

function: tidy.radf_obj package: exuber

Tidy a radf_obj object

function: augment.radf_obj package: exuber

Tidy a standsurv object.

function: tidy.standsurv package: flexsurv

Tidy a survstan object

function: tidy.survstan package: survstan

Tidy a tailor object

function: tidy.tailor package: tailor

Tidy a workflow

function: tidy.workflow package: workflows

Tidy a(n) Arima object

function: tidy.Arima package: broom

Tidy a(n) Gam object

function: tidy.Gam package: broom

Tidy a(n) Kendall object

function: tidy.Kendall package: broom

Tidy a(n) Mclust object

function: tidy.Mclust package: broom

Tidy a(n) SpatialPolygonsDataFrame object

function: tidy.SpatialPolygonsDataFrame package: broom

Tidy a(n) SpatialPolygonsDataFrame object

function: tidy.SpatialPolygons package: broom

Tidy a(n) SpatialPolygonsDataFrame object

function: tidy.Polygons package: broom

Tidy a(n) SpatialPolygonsDataFrame object

function: tidy.Polygon package: broom

Tidy a(n) SpatialPolygonsDataFrame object

function: tidy.SpatialLinesDataFrame package: broom

Tidy a(n) SpatialPolygonsDataFrame object

function: tidy.Lines package: broom

Tidy a(n) SpatialPolygonsDataFrame object

function: tidy.Line package: broom

Tidy a(n) TukeyHSD object

function: tidy.TukeyHSD package: broom

Tidy a(n) aareg object

function: tidy.aareg package: broom

Tidy a(n) acf object

function: tidy.acf package: broom

Tidy a(n) anova object

function: tidy.anova package: broom

Tidy a(n) aov object

function: tidy.aov package: broom

Tidy a(n) aovlist object

function: tidy.aovlist package: broom

Tidy a(n) betamfx object

function: tidy.betamfx package: broom

Tidy a(n) betareg object

function: tidy.betareg package: broom

Tidy a(n) biglm object

function: tidy.biglm package: broom

Tidy a(n) binDesign object

function: tidy.binDesign package: broom

Tidy a(n) binWidth object

function: tidy.binWidth package: broom

Tidy a(n) boot object

function: tidy.boot package: broom

Tidy a(n) btergm object

function: tidy.btergm package: broom

Tidy a(n) cch object

function: tidy.cch package: broom

Tidy a(n) cld object

function: tidy.cld package: broom

Tidy a(n) clm object

function: tidy.clm package: broom

Tidy a(n) clmm object

function: tidy.clmm package: broom

Tidy a(n) cmprsk object

function: tidy.crr package: broom

Tidy a(n) coeftest object

function: tidy.coeftest package: broom

Tidy a(n) confint.glht object

function: tidy.confint.glht package: broom

Tidy a(n) confusionMatrix object

function: tidy.confusionMatrix package: broom

Tidy a(n) cosinor object

function: tidy.cosinor package: card

Tidy a(n) coxph object

function: tidy.coxph package: broom

Tidy a(n) crumble object

function: tidy.crumble package: crumble

Tidy a(n) cv.glmnet object

function: tidy.cv.glmnet package: broom

Tidy a(n) drc object

function: tidy.drc package: broom

Tidy a(n) emmGrid object

function: tidy.emmGrid package: broom

Tidy a(n) epi.2by2 object

function: tidy.epi.2by2 package: broom

Tidy a(n) ergm object

function: tidy.ergm package: broom

Tidy a(n) factanal object

function: tidy.factanal package: broom

Tidy a(n) felm object

function: tidy.felm package: broom

Tidy a(n) fitdistr object

function: tidy.fitdistr package: broom

Tidy a(n) fixest object

function: tidy.fixest package: broom

Tidy a(n) gam object

function: tidy.gam package: broom

Tidy a(n) garch object

function: glance.garch package: broom

Tidy a(n) garch object

function: tidy.garch package: broom

Tidy a(n) geeglm object

function: tidy.geeglm package: broom

Tidy a(n) glht object

function: tidy.glht package: broom

Tidy a(n) glm object

function: tidy.glm package: broom

Tidy a(n) glmRob object

function: tidy.glmRob package: broom

Tidy a(n) glmnet object

function: tidy.glmnet package: broom

Tidy a(n) glmrob object

function: tidy.glmrob package: broom

Tidy a(n) gmm object

function: tidy.gmm package: broom

Tidy a(n) irlba object masquerading as list

function: tidy.irlba package: broom

Tidy a(n) ivreg object

function: tidy.ivreg package: broom

Tidy a(n) kappa object

function: tidy.kappa package: broom

Tidy a(n) kde object

function: tidy.kde package: broom

Tidy a(n) kmeans object

function: tidy.kmeans package: broom

Tidy a(n) lavaan object

function: tidy.lavaan package: broom

Tidy a(n) lm object

function: tidy.lm package: broom

Tidy a(n) lm.beta object

function: tidy.lm.beta package: broom

Tidy a(n) lmRob object

function: tidy.lmRob package: broom

Tidy a(n) lmodel2 object

function: tidy.lmodel2 package: broom

Tidy a(n) lmrob object

function: tidy.lmrob package: broom

Tidy a(n) lmtp object

function: tidy.lmtp package: lmtp

Tidy a(n) lmtp_survival object

function: tidy.lmtp_survival package: lmtp

Tidy a(n) loess object

function: augment.loess package: broom

Tidy a(n) lsmobj object

function: tidy.lsmobj package: broom

Tidy a(n) manova object

function: tidy.manova package: broom

Tidy a(n) map object

function: tidy.map package: broom

Tidy a(n) margins object

function: tidy.margins package: broom

Tidy a(n) mediate object

function: tidy.mediate package: broom

Tidy a(n) mfx object

function: tidy.mfx package: broom

Tidy a(n) mfx object

function: tidy.logitmfx package: broom

Tidy a(n) mfx object

function: tidy.negbinmfx package: broom

Tidy a(n) mfx object

function: tidy.poissonmfx package: broom

Tidy a(n) mfx object

function: tidy.probitmfx package: broom

Tidy a(n) mjoint object

function: tidy.mjoint package: broom

Tidy a(n) mle2 object

function: tidy.mle2 package: broom

Tidy a(n) mlm object

function: tidy.mlm package: broom

Tidy a(n) muhaz object

function: tidy.muhaz package: broom

Tidy a(n) negbin object

function: tidy.negbin package: broom

Tidy a(n) nlrq object

function: augment.nlrq package: broom

Tidy a(n) nlrq object

function: tidy.nlrq package: broom

Tidy a(n) nls object

function: tidy.nls package: broom

Tidy a(n) optim object masquerading as list

function: glance.optim package: broom

Tidy a(n) optim object masquerading as list

function: tidy.optim package: broom

Tidy a(n) pairwise.htest object

function: tidy.pairwise.htest package: broom

Tidy a(n) pam object

function: tidy.pam package: broom

Tidy a(n) plm object

function: tidy.plm package: broom

Tidy a(n) poLCA object

function: tidy.poLCA package: broom

Tidy a(n) polr object

function: tidy.polr package: broom

Tidy a(n) power.htest object

function: tidy.power.htest package: broom

Tidy a(n) prcomp object

function: tidy.prcomp package: broom

Tidy a(n) prop_scr object

function: tidy.prop_scr package: beastt

Tidy a(n) pyears object

function: tidy.pyears package: broom

Tidy a(n) rcorr object

function: tidy.rcorr package: broom

Tidy a(n) ref.grid object

function: tidy.ref.grid package: broom

Tidy a(n) regsubsets object

function: tidy.regsubsets package: broom

Tidy a(n) ridgelm object

function: tidy.ridgelm package: broom

Tidy a(n) rlm object

function: tidy.rlm package: broom

Tidy a(n) rma object

function: tidy.rma package: broom

Tidy a(n) rms model object

function: tidy.rms package: Greg

Tidy a(n) roc object

function: tidy.roc package: broom

Tidy a(n) rq object

function: tidy.rq package: broom

Tidy a(n) rqs object

function: tidy.rqs package: broom

Tidy a(n) smooth.spine object

function: glance.smooth.spline package: broom

Tidy a(n) smooth.spline object

function: augment.smooth.spline package: broom

Tidy a(n) spec object

function: tidy.spec package: broom

Tidy a(n) speedglm object

function: tidy.speedglm package: broom

Tidy a(n) speedlm object

function: tidy.speedlm package: broom

Tidy a(n) summary.glht object

function: tidy.summary.glht package: broom

Tidy a(n) summary.lm object

function: tidy.summary.lm package: broom

Tidy a(n) summary_emm object

function: tidy.summary_emm package: broom

Tidy a(n) survdiff object

function: tidy.survdiff package: broom

Tidy a(n) survexp object

function: tidy.survexp package: broom

Tidy a(n) survfit object

function: tidy.survfit package: broom

Tidy a(n) survreg object

function: tidy.survreg package: broom

Tidy a(n) svyglm object

function: tidy.svyglm package: broom

Tidy a(n) svyolr object

function: tidy.svyolr package: broom

Tidy a(n) systemfit object

function: tidy.systemfit package: broom

Tidy a(n) table object

function: tidy.table package: broom

Tidy a(n) ts object

function: tidy.ts package: broom

Tidy a(n) varest object

function: tidy.varest package: broom

Tidy a(n) zoo object

function: tidy.zoo package: broom

Tidy an estimatr object

function: tidy.lm_robust package: estimatr

Tidy an estimatr object

function: tidy.iv_robust package: estimatr

Tidy an estimatr object

function: tidy.difference_in_means package: estimatr

Tidy an estimatr object

function: tidy.horvitz_thompson package: estimatr

Tidy an estimatr object

function: tidy.lh_robust package: estimatr

Tidy an estimatr object

function: tidy.lh package: estimatr

Tidy an ipd fit

function: tidy.ipd package: ipd

Tidy an iv_factorial object

function: tidy.iv_factorial package: factiv

Tidy an iv_finite_factorial object

function: tidy.iv_finite_factorial package: factiv

Tidy an lm_sql_result

function: tidy.lm_sql_result package: sqlm

Tidy an mvgam object's parameter posteriors

function: tidy.mvgam package: mvgam

Tidy and glance methods for SLX models

function: tidy.slx package: slxr

Tidy and glance methods for SLX models

function: glance.slx package: slxr

Tidy atomic vectors

function: tidy.numeric package: broom

Tidy atomic vectors

function: tidy.character package: broom

Tidy atomic vectors

function: tidy.logical package: broom

Tidy diagnosis

function: tidy.diagnosis package: DeclareDesign

Tidy dictionary objects from the quanteda package

function: tidy.dictionary2 package: tidytext

Tidy estimates from the amce estimator

function: tidy.amce package: rdss

Tidy helper function for rdrobust function

function: tidy.rdrobust package: rdss

Tidy method for beezdemand_nlme

function: tidy.beezdemand_nlme package: beezdemand

Tidy method for qgcompfit object

function: tidy.qgcompfit package: qgcomp

Tidy methods for pls and spls objects

function: tidy.mixo_pls package: plsmod

Tidy methods for pls and spls objects

function: tidy.mixo_spls package: plsmod

Tidy model output

function: tidy.glmmfields package: glmmfields

Tidy model summaries for risks models

function: tidy.risks package: risks

Tidy summary for NMAR results

function: tidy.nmar_result package: NMAR

Tidy the Experts' losses of an Online object

function: tidy.online.experts_loss package: profoc

Tidy the Experts' losses of an Online object

function: tidy.online.forecaster_loss package: profoc

Tidy the Predictions of an Online object

function: tidy.online.predictions package: profoc

Tidy the Weights of an Online object

function: tidy.online.weights package: profoc

Tidy the control limits of a Shewhart chart

function: tidy.shewhart_chart package: shewhartr

Tidy the output of pmatrix.msm and similar functions

function: tidy.msm.est package: msm

Tidy the output of prevalence.msm

function: tidy.msm.prevalence package: msm

Tidy the output of totlos.msm and similar functions

function: tidy.msm.estbystate package: msm

Tidy the parameter estimates from an msm model

function: tidy.msm package: msm

Tidy the parsed model results

function: tidy.pm_regression package: tidypredict

Tidy the result of a recipe

function: tidy.step_BoxCox package: recipes

Tidy the result of a recipe

function: tidy.step_YeoJohnson package: recipes

Tidy the result of a recipe

function: tidy.step_arrange package: recipes

Tidy the result of a recipe

function: tidy.step_bin2factor package: recipes

Tidy the result of a recipe

function: tidy.step_bs package: recipes

Tidy the result of a recipe

function: tidy.step_center package: recipes

Tidy the result of a recipe

function: tidy.check_class package: recipes

Tidy the result of a recipe

function: tidy.step_classdist package: recipes

Tidy the result of a recipe

function: tidy.step_classdist_shrunken package: recipes

Tidy the result of a recipe

function: tidy.check_cols package: recipes

Tidy the result of a recipe

function: tidy.step_corr package: recipes

Tidy the result of a recipe

function: tidy.step_count package: recipes

Tidy the result of a recipe

function: tidy.step_cut package: recipes

Tidy the result of a recipe

function: tidy.step_date package: recipes

Tidy the result of a recipe

function: tidy.step_depth package: recipes

Tidy the result of a recipe

function: tidy.step_discretize package: recipes

Tidy the result of a recipe

function: tidy.step_dummy package: recipes

Tidy the result of a recipe

function: tidy.step_dummy_extract package: recipes

Tidy the result of a recipe

function: tidy.step_dummy_multi_choice package: recipes

Tidy the result of a recipe

function: tidy.step_factor2string package: recipes

Tidy the result of a recipe

function: tidy.step_filter package: recipes

Tidy the result of a recipe

function: tidy.step_filter_missing package: recipes

Tidy the result of a recipe

function: tidy.step_geodist package: recipes

Tidy the result of a recipe

function: tidy.step_harmonic package: recipes

Tidy the result of a recipe

function: tidy.step_holiday package: recipes

Tidy the result of a recipe

function: tidy.step_hyperbolic package: recipes

Tidy the result of a recipe

function: tidy.step_ica package: recipes

Tidy the result of a recipe

function: tidy.step_impute_bag package: recipes

Tidy the result of a recipe

function: tidy.step_impute_knn package: recipes

Tidy the result of a recipe

function: tidy.step_impute_linear package: recipes

Tidy the result of a recipe

function: tidy.step_impute_lower package: recipes

Tidy the result of a recipe

function: tidy.step_impute_mean package: recipes

Tidy the result of a recipe

function: tidy.step_impute_median package: recipes

Tidy the result of a recipe

function: tidy.step_impute_mode package: recipes

Tidy the result of a recipe

function: tidy.step_impute_roll package: recipes

Tidy the result of a recipe

function: tidy.step_indicate_na package: recipes

Tidy the result of a recipe

function: tidy.step_integer package: recipes

Tidy the result of a recipe

function: tidy.step_interact package: recipes

Tidy the result of a recipe

function: tidy.step_intercept package: recipes

Tidy the result of a recipe

function: tidy.step_inverse package: recipes

Tidy the result of a recipe

function: tidy.step_invlogit package: recipes

Tidy the result of a recipe

function: tidy.step_isomap package: recipes

Tidy the result of a recipe

function: tidy.step_kpca package: recipes

Tidy the result of a recipe

function: tidy.step_kpca_poly package: recipes

Tidy the result of a recipe

function: tidy.step_kpca_rbf package: recipes

Tidy the result of a recipe

function: tidy.step_lag package: recipes

Tidy the result of a recipe

function: tidy.step_lincomb package: recipes

Tidy the result of a recipe

function: tidy.step_log package: recipes

Tidy the result of a recipe

function: tidy.step_logit package: recipes

Tidy the result of a recipe

function: tidy.check_missing package: recipes

Tidy the result of a recipe

function: tidy.step_mutate package: recipes

Tidy the result of a recipe

function: tidy.step_mutate_at package: recipes

Tidy the result of a recipe

function: tidy.step_naomit package: recipes

Tidy the result of a recipe

function: tidy.check_new_values package: recipes

Tidy the result of a recipe

function: tidy.step_nnmf package: recipes

Tidy the result of a recipe

function: tidy.step_nnmf_sparse package: recipes

Tidy the result of a recipe

function: tidy.step_normalize package: recipes

Tidy the result of a recipe

function: tidy.step_novel package: recipes

Tidy the result of a recipe

function: tidy.step_ns package: recipes

Tidy the result of a recipe

function: tidy.step_num2factor package: recipes

Tidy the result of a recipe

function: tidy.step_nzv package: recipes

Tidy the result of a recipe

function: tidy.step_ordinalscore package: recipes

Tidy the result of a recipe

function: tidy.step_other package: recipes

Tidy the result of a recipe

function: tidy.step_pca package: recipes

Tidy the result of a recipe

function: tidy.step_percentile package: recipes

Tidy the result of a recipe

function: tidy.step_pls package: recipes

Tidy the result of a recipe

function: tidy.step_poly package: recipes

Tidy the result of a recipe

function: tidy.step_poly_bernstein package: recipes

Tidy the result of a recipe

function: tidy.step_profile package: recipes

Tidy the result of a recipe

function: tidy.step_range package: recipes

Tidy the result of a recipe

function: tidy.check_range package: recipes

Tidy the result of a recipe

function: tidy.step_ratio package: recipes

Tidy the result of a recipe

function: tidy.step_regex package: recipes

Tidy the result of a recipe

function: tidy.step_relevel package: recipes

Tidy the result of a recipe

function: tidy.step_relu package: recipes

Tidy the result of a recipe

function: tidy.step_rename package: recipes

Tidy the result of a recipe

function: tidy.step_rename_at package: recipes

Tidy the result of a recipe

function: tidy.step_rm package: recipes

Tidy the result of a recipe

function: tidy.step_sample package: recipes

Tidy the result of a recipe

function: tidy.step_scale package: recipes

Tidy the result of a recipe

function: tidy.step_select package: recipes

Tidy the result of a recipe

function: tidy.step_shuffle package: recipes

Tidy the result of a recipe

function: tidy.step_slice package: recipes

Tidy the result of a recipe

function: tidy.step_spatialsign package: recipes

Tidy the result of a recipe

function: tidy.step_spline_b package: recipes

Tidy the result of a recipe

function: tidy.step_spline_convex package: recipes

Tidy the result of a recipe

function: tidy.step_spline_monotone package: recipes

Tidy the result of a recipe

function: tidy.step_spline_natural package: recipes

Tidy the result of a recipe

function: tidy.step_spline_nonnegative package: recipes

Tidy the result of a recipe

function: tidy.step_sqrt package: recipes

Tidy the result of a recipe

function: tidy.step_string2factor package: recipes

Tidy the result of a recipe

function: tidy.recipe package: recipes

Tidy the result of a recipe

function: tidy.step package: recipes

Tidy the result of a recipe

function: tidy.check package: recipes

Tidy the result of a recipe

function: tidy.step_time package: recipes

Tidy the result of a recipe

function: tidy.step_unknown package: recipes

Tidy the result of a recipe

function: tidy.step_unorder package: recipes

Tidy the result of a recipe

function: tidy.step_window package: recipes

Tidy the result of a recipe

function: tidy.step_zv package: recipes

Tidy variance structure for the nlme package.

function: tidy.varFunc package: broom.mixed

Tidy variance structure for the nlme package.

function: tidy.varComb package: broom.mixed

Tidy/glance a(n) durbinWatsonTest object

function: tidy.durbinWatsonTest package: broom

Tidy/glance a(n) durbinWatsonTest object

function: glance.durbinWatsonTest package: broom

Tidy/glance a(n) htest object

function: tidy.htest package: broom

Tidy/glance a(n) htest object

function: glance.htest package: broom

Tidy/glance a(n) leveneTest object

function: tidy.leveneTest package: broom

Tidying Methods for mmrm Objects

function: tidy.mmrm package: mmrm

Tidying Methods for mmrm Objects

function: glance.mmrm package: mmrm

Tidying Methods for mmrm Objects

function: augment.mmrm package: mmrm

Tidying VarCorr of Mixed Effect Models

function: tidy.VarCorr.lme package: broom.mixed

Tidying methods for MCMC (Stan, JAGS, etc.) fits

function: tidy.MCMCglmm package: broom.mixed

Tidying methods for MCMC (Stan, JAGS, etc.) fits

function: tidy.rjags package: broom.mixed

Tidying methods for MCMC (Stan, JAGS, etc.) fits

function: tidy.stanfit package: broom.mixed

Tidying methods for MCMC (Stan, JAGS, etc.) fits

function: tidy.mcmc package: broom.mixed

Tidying methods for MCMC (Stan, JAGS, etc.) fits

function: tidy.mcmc.list package: broom.mixed

Tidying methods for Spark ML ALS

function: tidy.ml_model_als package: sparklyr

Tidying methods for Spark ML ALS

function: augment.ml_model_als package: sparklyr

Tidying methods for Spark ML ALS

function: glance.ml_model_als package: sparklyr

Tidying methods for Spark ML Isotonic Regression

function: tidy.ml_model_isotonic_regression package: sparklyr

Tidying methods for Spark ML Isotonic Regression

function: augment.ml_model_isotonic_regression package: sparklyr

Tidying methods for Spark ML Isotonic Regression

function: glance.ml_model_isotonic_regression package: sparklyr

Tidying methods for Spark ML LDA models

function: tidy.ml_model_lda package: sparklyr

Tidying methods for Spark ML LDA models

function: augment.ml_model_lda package: sparklyr

Tidying methods for Spark ML LDA models

function: glance.ml_model_lda package: sparklyr

Tidying methods for Spark ML Logistic Regression

function: tidy.ml_model_logistic_regression package: sparklyr

Tidying methods for Spark ML Logistic Regression

function: augment.ml_model_logistic_regression package: sparklyr

Tidying methods for Spark ML Logistic Regression

function: augment._ml_model_logistic_regression package: sparklyr

Tidying methods for Spark ML Logistic Regression

function: glance.ml_model_logistic_regression package: sparklyr

Tidying methods for Spark ML MLP

function: tidy.ml_model_multilayer_perceptron_classification package: sparklyr

Tidying methods for Spark ML MLP

function: augment.ml_model_multilayer_perceptron_classification package: sparklyr

Tidying methods for Spark ML MLP

function: glance.ml_model_multilayer_perceptron_classification package: sparklyr

Tidying methods for Spark ML Naive Bayes

function: tidy.ml_model_naive_bayes package: sparklyr

Tidying methods for Spark ML Naive Bayes

function: augment.ml_model_naive_bayes package: sparklyr

Tidying methods for Spark ML Naive Bayes

function: glance.ml_model_naive_bayes package: sparklyr

Tidying methods for Spark ML Principal Component Analysis

function: tidy.ml_model_pca package: sparklyr

Tidying methods for Spark ML Principal Component Analysis

function: augment.ml_model_pca package: sparklyr

Tidying methods for Spark ML Principal Component Analysis

function: glance.ml_model_pca package: sparklyr

Tidying methods for Spark ML Survival Regression

function: tidy.ml_model_aft_survival_regression package: sparklyr

Tidying methods for Spark ML Survival Regression

function: augment.ml_model_aft_survival_regression package: sparklyr

Tidying methods for Spark ML Survival Regression

function: glance.ml_model_aft_survival_regression package: sparklyr

Tidying methods for Spark ML linear models

function: tidy.ml_model_generalized_linear_regression package: sparklyr

Tidying methods for Spark ML linear models

function: tidy.ml_model_linear_regression package: sparklyr

Tidying methods for Spark ML linear models

function: augment.ml_model_generalized_linear_regression package: sparklyr

Tidying methods for Spark ML linear models

function: augment._ml_model_linear_regression package: sparklyr

Tidying methods for Spark ML linear models

function: augment.ml_model_linear_regression package: sparklyr

Tidying methods for Spark ML linear models

function: glance.ml_model_generalized_linear_regression package: sparklyr

Tidying methods for Spark ML linear models

function: glance.ml_model_linear_regression package: sparklyr

Tidying methods for Spark ML linear svc

function: tidy.ml_model_linear_svc package: sparklyr

Tidying methods for Spark ML linear svc

function: augment.ml_model_linear_svc package: sparklyr

Tidying methods for Spark ML linear svc

function: glance.ml_model_linear_svc package: sparklyr

Tidying methods for Spark ML tree models

function: tidy.ml_model_decision_tree_classification package: sparklyr

Tidying methods for Spark ML tree models

function: tidy.ml_model_decision_tree_regression package: sparklyr

Tidying methods for Spark ML tree models

function: augment.ml_model_decision_tree_classification package: sparklyr

Tidying methods for Spark ML tree models

function: augment._ml_model_decision_tree_classification package: sparklyr

Tidying methods for Spark ML tree models

function: augment.ml_model_decision_tree_regression package: sparklyr

Tidying methods for Spark ML tree models

function: augment._ml_model_decision_tree_regression package: sparklyr

Tidying methods for Spark ML tree models

function: glance.ml_model_decision_tree_classification package: sparklyr

Tidying methods for Spark ML tree models

function: glance.ml_model_decision_tree_regression package: sparklyr

Tidying methods for Spark ML tree models

function: tidy.ml_model_random_forest_classification package: sparklyr

Tidying methods for Spark ML tree models

function: tidy.ml_model_random_forest_regression package: sparklyr

Tidying methods for Spark ML tree models

function: augment.ml_model_random_forest_classification package: sparklyr

Tidying methods for Spark ML tree models

function: augment._ml_model_random_forest_classification package: sparklyr

Tidying methods for Spark ML tree models

function: augment.ml_model_random_forest_regression package: sparklyr

Tidying methods for Spark ML tree models

function: augment._ml_model_random_forest_regression package: sparklyr

Tidying methods for Spark ML tree models

function: glance.ml_model_random_forest_classification package: sparklyr

Tidying methods for Spark ML tree models

function: glance.ml_model_random_forest_regression package: sparklyr

Tidying methods for Spark ML tree models

function: tidy.ml_model_gbt_classification package: sparklyr

Tidying methods for Spark ML tree models

function: tidy.ml_model_gbt_regression package: sparklyr

Tidying methods for Spark ML tree models

function: augment.ml_model_gbt_classification package: sparklyr

Tidying methods for Spark ML tree models

function: augment._ml_model_gbt_classification package: sparklyr

Tidying methods for Spark ML tree models

function: augment.ml_model_gbt_regression package: sparklyr

Tidying methods for Spark ML tree models

function: augment._ml_model_gbt_regression package: sparklyr

Tidying methods for Spark ML tree models

function: glance.ml_model_gbt_classification package: sparklyr

Tidying methods for Spark ML tree models

function: glance.ml_model_gbt_regression package: sparklyr

Tidying methods for Spark ML unsupervised models

function: tidy.ml_model_kmeans package: sparklyr

Tidying methods for Spark ML unsupervised models

function: augment.ml_model_kmeans package: sparklyr

Tidying methods for Spark ML unsupervised models

function: glance.ml_model_kmeans package: sparklyr

Tidying methods for Spark ML unsupervised models

function: tidy.ml_model_bisecting_kmeans package: sparklyr

Tidying methods for Spark ML unsupervised models

function: augment.ml_model_bisecting_kmeans package: sparklyr

Tidying methods for Spark ML unsupervised models

function: glance.ml_model_bisecting_kmeans package: sparklyr

Tidying methods for Spark ML unsupervised models

function: tidy.ml_model_gaussian_mixture package: sparklyr

Tidying methods for Spark ML unsupervised models

function: augment.ml_model_gaussian_mixture package: sparklyr

Tidying methods for Spark ML unsupervised models

function: glance.ml_model_gaussian_mixture package: sparklyr

Tidying methods for TMB models

function: tidy.TMB package: broom.mixed

Tidying methods for a brms model

function: tidy.brmsfit package: broom.mixed

Tidying methods for a brms model

function: glance.brmsfit package: broom.mixed

Tidying methods for a brms model

function: augment.brmsfit package: broom.mixed

Tidying methods for an rstanarm model

function: tidy.stanreg package: broom.mixed

Tidying methods for an rstanarm model

function: glance.stanreg package: broom.mixed

Tidying methods for gamlss objects

function: tidy.gamlss package: broom.mixed

Tidying methods for glmmADMB models

function: tidy.glmmadmb package: broom.mixed

Tidying methods for glmmADMB models

function: augment.glmmadmb package: broom.mixed

Tidying methods for glmmADMB models

function: glance.glmmadmb package: broom.mixed

Tidying methods for glmmTMB models

function: tidy.glmmTMB package: broom.mixed

Tidying methods for glmmTMB models

function: augment.glmmTMB package: broom.mixed

Tidying methods for glmmTMB models

function: glance.glmmTMB package: broom.mixed

Tidying methods for joint models for time-to-event data and multivariate longitudinal data

function: tidy.mjoint package: joineRML

Tidying methods for joint models for time-to-event data and multivariate longitudinal data

function: augment.mjoint package: joineRML

Tidying methods for joint models for time-to-event data and multivariate longitudinal data

function: glance.mjoint package: joineRML

Tidying methods for lists / returned values that are not S3 objects

function: tidy.list package: broom

Tidying methods for lists / returned values that are not S3 objects

function: glance.list package: broom

Tidying methods for logit models

function: tidy.mlogit package: broom

Tidying methods for lqmm models (EXPERIMENTAL)

function: tidy.lqmm package: broom.mixed

Tidying methods for lqmm models (EXPERIMENTAL)

function: glance.lqmm package: broom.mixed

Tidying methods for mediation analyses involving mixed effects models

function: tidy.mediate.mer package: broom.mixed

Tidying methods for mixed effects models

function: glance.allFit package: broom.mixed

Tidying methods for mixed effects models

function: tidy.allFit package: broom.mixed

Tidying methods for mixed effects models

function: tidy.merMod package: broom.mixed

Tidying methods for mixed effects models

function: tidy.rlmerMod package: broom.mixed

Tidying methods for mixed effects models

function: augment.merMod package: broom.mixed

Tidying methods for mixed effects models

function: glance.merMod package: broom.mixed

Tidying methods for mixed effects models

function: tidy.lme package: broom.mixed

Tidying methods for mixed effects models

function: augment.lme package: broom.mixed

Tidying methods for mixed effects models

function: glance.lme package: broom.mixed

Tidying methods for mixed effects models

function: tidy.gls package: broom.mixed

Tidying methods for mixed effects models

function: augment.gls package: broom.mixed

Tidying methods for multinomial logistic regression models

function: tidy.multinom package: broom

Tidying methods for spatially autoregressive models

function: tidy.sarlm package: broom

Time after Recurrent Date Time Event

function: tidy.step_date_after package: extrasteps

Time before Recurrent Date Time Event

function: tidy.step_date_before package: extrasteps

Time to Nearest Recurrent Date Time Event

function: tidy.step_date_nearest package: extrasteps

Tokenization of Character Variables

function: tidy.step_tokenize package: textrecipes

Tools for working with H2O AutoML results

function: tidy._H2OAutoML package: agua

Truncated PCA Signal Extraction

function: tidy.step_pca_truncated package: embed

Turn C5.0 and rule-based models into tidy tibbles

function: tidy.C5.0 package: rules

Turn C5.0 and rule-based models into tidy tibbles

function: tidy.cubist package: rules

Turn C5.0 and rule-based models into tidy tibbles

function: tidy.xrf package: rules

Turn Spat* object into a tidy tibble

function: tidy.Spat package: tidyterra

Turn Spat* object into a tidy tibble

function: tidy.SpatRaster package: tidyterra

Turn Spat* object into a tidy tibble

function: tidy.SpatVector package: tidyterra

Turn Spat* object into a tidy tibble

function: tidy.SpatGraticule package: tidyterra

Turn Spat* object into a tidy tibble

function: tidy.SpatExtent package: tidyterra

Turn a object into a tidy tibble

function: tidy.summarised_result package: omopgenerics

Turn a fitdists Object into a Tibble

function: tidy.fitdists package: ssdtools

Turn a parsnip model object into a tidy tibble

function: tidy.model_fit package: parsnip

Turn a tidyclust model object into a tidy tibble

function: tidy.cluster_fit package: tidyclust

Turn an object into a tidy dataset

function: tidy.simsum package: rsimsum

Turn an object into a tidy dataset

function: tidy.summary.simsum package: rsimsum

Turn an object into a tidy dataset

function: tidy.multisimsum package: rsimsum

Turn an object into a tidy dataset

function: tidy.summary.multisimsum package: rsimsum

Turn an object into a tidy tibble

function: tidy.mcmc package: nlist

Turn an object into a tidy tibble

function: tidy.mcmc.list package: nlist

Turn an object into a tidy tibble

function: tidy.nlists package: nlist

Turn sdmTMB model output into a tidy data frame

function: tidy.sdmTMB package: sdmTMB

Turn sdmTMB model output into a tidy data frame

function: tidy.sdmTMB_cv package: sdmTMB

Turn zero-inflated model results into a tidy tibble

function: tidy.zeroinfl package: poissonreg

Turn zero-inflated model results into a tidy tibble

function: tidy.hurdle package: poissonreg

Untokenization of Token Variables

function: tidy.step_untokenize package: textrecipes

Up-Sample a Data Set Based on a Factor Variable

function: tidy.step_upsample package: themis

Weight of evidence transformation

function: tidy.step_woe package: embed

Wordpiece Tokenization of Character Variables

function: tidy.step_tokenize_wordpiece package: textrecipes

broom's methods

function: tidy.mhurdle package: mhurdle

broom's methods

function: glance.mhurdle package: mhurdle

collapse factor levels using stringdist

function: tidy.step_collapse_stringdist package: embed

difftimearithmic Transformation

function: tidy.step_difftime package: extrasteps

glance model characteristics from AGGTEobj objects

function: glance.AGGTEobj package: did

glance model characteristics from MP objects

function: glance.MP package: did

micsr class

function: tidy.micsr package: micsr

micsr class

function: glance.micsr package: micsr

name ordinal_tidiers

function: augment.clmm package: broom.mixed

tidy results from AGGTEobj objects

function: tidy.AGGTEobj package: did

tidy results from MP objects

function: tidy.MP package: did