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vtreat  

A Statistically Sound 'data.frame' Processor/Conditioner
View on CRAN: Click here


Download and install vtreat package within the R console
Install from CRAN:
install.packages("vtreat")

Install from Github:
library("remotes")
install_github("cran/vtreat")

Install by package version:
library("remotes")
install_version("vtreat", "1.6.5")



Attach the package and use:
library("vtreat")
Maintained by
John Mount
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-09-06
Latest Update: 2024-06-12
Description:
A 'data.frame' processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. 'vtreat' prepares variables so that data has fewer exceptional cases, making it easier to safely use models in production. Common problems 'vtreat' defends against: 'Inf', 'NA', too many categorical levels, rare categorical levels, and new categorical levels (levels seen during application, but not during training). Reference: "'vtreat': a data.frame Processor for Predictive Modeling", Zumel, Mount, 2016, <doi:10.5281/zenodo.1173313>.
How to cite:
John Mount (2015). vtreat: A Statistically Sound 'data.frame' Processor/Conditioner. R package version 1.6.5, https://cran.r-project.org/web/packages/vtreat. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:59), 0.5.14 (2015-09-06 19:31), 0.5.16 (2015-09-13 19:32), 0.5.18 (2015-10-07 22:43), 0.5.20 (2015-11-05 20:47), 0.5.21 (2015-11-11 00:39), 0.5.22 (2016-01-08 00:27), 0.5.23 (2016-04-29 12:12), 0.5.25 (2016-05-03 08:20), 0.5.26 (2016-07-12 07:49), 0.5.27 (2016-08-17 21:45), 0.5.28 (2016-10-25 00:18), 0.5.30 (2017-01-21 23:09), 0.5.31 (2017-04-14 15:59), 0.5.32 (2017-06-14 03:37), 0.6.0 (2017-09-20 22:37), 1.0.0 (2017-10-04 17:51), 1.0.1 (2017-10-17 05:44), 1.0.2 (2018-01-20 16:32), 1.0.3 (2018-03-11 00:50), 1.0.4 (2018-05-05 19:42), 1.2.0 (2018-06-19 16:53), 1.2.1 (2018-06-27 06:36), 1.2.2 (2018-07-04 17:30), 1.2.3 (2018-07-11 19:20), 1.3.0 (2018-07-20 17:20), 1.3.1 (2018-09-10 18:00), 1.3.2 (2018-11-05 18:50), 1.3.3 (2018-12-17 19:20), 1.3.4 (2019-01-02 18:20), 1.3.5 (2019-01-27 19:10), 1.3.6 (2019-02-09 21:00), 1.3.7 (2019-02-21 07:20), 1.3.8 (2019-03-31 19:30), 1.4.0 (2019-05-05 17:20), 1.4.2 (2019-07-01 23:30), 1.4.3 (2019-07-18 13:20), 1.4.4 (2019-07-27 23:40), 1.4.5 (2019-09-11 18:00), 1.4.6 (2019-09-23 07:40), 1.4.7 (2019-10-01 20:40), 1.4.8 (2019-12-08 20:00), 1.5.0 (2020-01-08 23:30), 1.5.1 (2020-01-16 18:40), 1.5.2 (2020-02-08 20:10), 1.6.0 (2020-03-11 12:40), 1.6.1 (2020-08-12 20:20), 1.6.2 (2020-10-17 17:40), 1.6.3 (2021-06-11 17:10), 1.6.4 (2023-08-19 22:00)
Other packages that cited vtreat R package
View vtreat citation profile
Other R packages that vtreat depends, imports, suggests or enhances
Complete documentation for vtreat
Functions, R codes and Examples using the vtreat R package
Some associated functions: BinomialOutcomeTreatment . MultinomialOutcomeTreatment . NumericOutcomeTreatment . UnsupervisedTreatment . apply_transform . as_rquery_plan . buildEvalSets . center_scale . classification_parameters . designTreatmentsC . designTreatmentsN . designTreatmentsZ . design_missingness_treatment . dot-wmean . fit . fit_prepare . fit_transform . flatten_fn_list . format.vtreatment . getSplitPlanAppLabels . get_feature_names . get_score_frame . get_transform . kWayCrossValidation . kWayStratifiedY . kWayStratifiedYReplace . makeCustomCoderCat . makeCustomCoderNum . makekWayCrossValidationGroupedByColumn . mkCrossFrameCExperiment . mkCrossFrameMExperiment . mkCrossFrameNExperiment . multinomial_parameters . novel_value_summary . oneWayHoldout . patch_columns_into_frame . ppCoderC . ppCoderN . pre_comp_xval . prepare.multinomial_plan . prepare . prepare.simple_plan . prepare.treatmentplan . print.multinomial_plan . print.simple_plan . print.treatmentplan . print.vtreatment . problemAppPlan . regression_parameters . rqdatatable_prepare . rquery_prepare . solveIsotone . solveNonDecreasing . solveNonIncreasing . solve_piecewise . solve_piecewisec . spline_variable . spline_variablec . square_window . square_windowc . track_values . unsupervised_parameters . value_variables_C . value_variables_N . variable_values . vnames . vorig . vtreat-package . 
Some associated R codes: center_scale.R . cleanTreatment.R . customCoder.R . design_missing_Z.R . deviationFact.R . effectTreatmentC.R . effectTreatmentN.R . ft.R . indicatorTreatment.R . isBadTreatment.R . isotone.R . mult_class.R . outOfSample.R . partial_pooling.R . patch_columns_into_frame.R . pre_comp_xval.R . prevalenceFact.R . rquery_treatment.R . segmented_variable.R . spline_variable.R . square_window.R . utils.R . variable_importance.R . vtreat.R . vtreatImpl.R . vtreat_pipes.R . wrapr_exports.R . zzz.R .  Full vtreat package functions and examples
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