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categoryEncodings
View on CRAN: Click
here
Download and install categoryEncodings package within the R console
Install from CRAN:
install.packages("categoryEncodings")
Install from Github:
library("remotes")
install_github("cran/categoryEncodings") Install by package version:
library("remotes")
install_version("categoryEncodings", "1.4.3") Attach the package and use:
library("categoryEncodings")
Maintained by
Juraj Szitas
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-02
Latest Update: 2020-03-02
Description:
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) ,
particularly their mean, sparse principal component analysis,
low rank representation, and multinomial logit encodings.
How to cite:
Juraj Szitas (2020). categoryEncodings: Category Variable Encodings. R package version 1.4.3, https://cran.r-project.org/web/packages/categoryEncodings. Accessed 06 Aug. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited categoryEncodings R package
View categoryEncodings citation profile
Other R packages that categoryEncodings depends,
imports, suggests or enhances
Complete documentation for categoryEncodings
Functions, R codes and Examples using
the categoryEncodings R package
Some associated functions: encode_SPCA . encode_categories . encode_deviation . encode_difference . encode_dummy . encode_helmert . encode_lowrank . encode_mean . encode_median . encode_mnl . encode_repeated_effect . encode_simple_effect .
Some associated R codes: encode_categories.R . encodings.R . Full categoryEncodings package functions and examples
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