categoryEncodings: Category Variable Encodings

Simple, fast, and automatic encodings for category data using a data.table backend. Most of the methods are an implementation of "Sufficient Representation for Categorical Variables" by Johannemann, Hadad, Athey, Wager (2019) <arXiv:1908.09874>, particularly their mean, sparse principal component analysis, low rank representation, and multinomial logit encodings.

Version: 1.4.3
Imports: glmnet, sparsepca, data.table
Suggests: testthat (≥ 2.1.0), covr
Published: 2020-03-02
Author: Juraj Szitas [aut, cre]
Maintainer: Juraj Szitas <szitas.juraj13 at>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: categoryEncodings results


Reference manual: categoryEncodings.pdf
Package source: categoryEncodings_1.4.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): categoryEncodings_1.4.3.tgz, r-release (x86_64): categoryEncodings_1.4.3.tgz, r-oldrel: categoryEncodings_1.4.3.tgz


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