Package: wec 0.4-1

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.

Authors:Rense Nieuwenhuis, Manfred te Grotenhuis, Ben Pelzer, Alexander Schmidt, Ruben Konig, Rob Eisinga

wec_0.4-1.tar.gz
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wec_0.4-1.tgz(r-4.4-any)wec_0.4-1.tgz(r-4.3-any)
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wec.pdf |wec.html✨
wec/json (API)

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2 exports 2 stars 0.23 score 16 dependencies 14 scripts 241 downloads

Last updated 7 years agofrom:64f2cead36. Checks:OK: 7. Indexed: yes.

Exports:contr.wecwec.interact

Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr