Package: peticontrast 0.1.0

Peti Mester

peticontrast: Professional Contrast Coding for OLS Models

Automates sum coding (also known as effect coding) for Ordinary Least Squares (OLS) regression models. This approach is specifically designed to handle seasonal time series and categorical variables by comparing each group to the grand mean, rather than a single baseline category. This ensures that the intercept represents the unweighted grand mean of the dependent variable. For a comprehensive overview of contrast coding systems, see the UCLA Advanced Research Computing documentation (2021) <https://stats.oarc.ucla.edu/r/library/r-library-contrast-coding-systems-for-categorical-variables/>.

Authors:Peti Mester [aut, cre]

peticontrast_0.1.0.tar.gz
peticontrast_0.1.0.zip(r-4.7-any)peticontrast_0.1.0.zip(r-4.6-any)
peticontrast_0.1.0.tar.gz(r-4.7-any)peticontrast_0.1.0.tar.gz(r-4.6-any)
peticontrast_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
peticontrast/json (API)

# Install 'peticontrast' in R:
install.packages('peticontrast', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

1.70 score 222 downloads 1 exports 0 dependencies

Last updated from:6ecaf365ee. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK81
source / vignettesOK181
linux-releaseOK88
windows-develOK53
windows-releaseOK52
wasm-releaseOK69

Exports:apply_peticontrast

Dependencies: