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categoryEncodings  

Category Variable Encodings
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]
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 04 Jun. 2026.
Previous versions and publish date:
No previous versions
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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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