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wec

Weighted Effect Coding

Provides functions to create factor variables with contrasts based on weighted effect coding, and their interactions. In weighted effect coding the estimates from a first order regression model show the deviations per group from the sample mean. This is especially useful when a researcher has no directional hypotheses and uses a sample from a population in which the number of observation per group is different.

Versions across snapshots

VersionRepositoryFileSize
0.4-1 rolling linux/jammy R-4.5 wec_0.4-1.tar.gz 114.5 KiB
0.4-1 rolling linux/noble R-4.5 wec_0.4-1.tar.gz 114.4 KiB
0.4-1 rolling source/ R- wec_0.4-1.tar.gz 94.2 KiB
0.4-1 latest linux/jammy R-4.5 wec_0.4-1.tar.gz 114.5 KiB
0.4-1 latest linux/noble R-4.5 wec_0.4-1.tar.gz 114.4 KiB
0.4-1 latest source/ R- wec_0.4-1.tar.gz 94.2 KiB
0.4-1 2026-04-26 source/ R- wec_0.4-1.tar.gz 94.2 KiB
0.4-1 2026-04-23 source/ R- wec_0.4-1.tar.gz 94.2 KiB
0.4-1 2026-04-09 windows/windows R-4.5 wec_0.4-1.zip 117.2 KiB
0.4-1 2025-04-20 source/ R- wec_0.4-1.tar.gz 94.2 KiB

Dependencies (latest)

Imports