vtreat (1.0.1)

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A Statistically Sound 'data.frame' Processor/Conditioner.

https://github.com/WinVector/vtreat/
https://winvector.github.io/vtreat/
http://cran.r-project.org/web/packages/vtreat

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). 'vtreat::prepare' should be used as you would use 'model.matrix'.

Maintainer: John Mount
Author(s): John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]

License: GPL-3

Uses: RSQLite, ggplot2, testthat, knitr, dplyr, rmarkdown

Released 2 days ago.


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