Package: vtreat
Type: Package
Title: A Statistically Sound 'data.frame' Processor/Conditioner
Version: 0.5.32
Date: 2017-06-13
Author: John Mount, Nina Zumel
URL: https://github.com/WinVector/vtreat
BugReports: https://github.com/WinVector/vtreat/issues
Maintainer: John Mount <jmount@win-vector.com>
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).
    'vtreat::prepare' should be used as you would use 'model.matrix'.
License: GPL-3
Suggests: testthat, knitr, parallel, rmarkdown, dplyr, ggplot2, RSQLite
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-06-14 01:26:46 UTC; johnmount
Repository: CRAN
Date/Publication: 2017-06-14 01:37:36 UTC
