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Extra Recipes for Encoding Predictors

Predictors can be converted to one or more numeric representations using a variety of methods. Effect encodings using simple generalized linear models <doi:10.48550/arXiv.1611.09477> or nonlinear models <doi:10.48550/arXiv.1604.06737> can be used. There are also functions for dimension reduction and other approaches.

Versions across snapshots

VersionRepositoryFileSize
1.2.2 rolling linux/jammy R-4.5 embed_1.2.2.tar.gz 385.7 KiB
1.2.2 rolling linux/noble R-4.5 embed_1.2.2.tar.gz 385.2 KiB
1.2.2 rolling source/ R- embed_1.2.2.tar.gz 189.3 KiB
1.2.2 latest linux/jammy R-4.5 embed_1.2.2.tar.gz 385.7 KiB
1.2.2 latest linux/noble R-4.5 embed_1.2.2.tar.gz 385.2 KiB
1.2.2 latest source/ R- embed_1.2.2.tar.gz 189.3 KiB
1.2.2 2026-04-26 source/ R- embed_1.2.2.tar.gz 189.3 KiB
1.2.2 2026-04-23 source/ R- embed_1.2.2.tar.gz 189.3 KiB
1.2.2 2026-04-09 windows/windows R-4.5 embed_1.2.2.zip 391.3 KiB
1.1.5 2025-04-20 source/ R- embed_1.1.5.tar.gz 184.7 KiB

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