Package: peticontrast
Title: Professional Contrast Coding for OLS Models
Version: 0.1.0
Authors@R: person("Peti", "Mester", role = c("aut", "cre"), email = "petyatoth2005@gmail.com")
Description: 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/>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.2.3
Imports: stats
Suggests: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-07-22 08:07:21 UTC; root
Author: Peti Mester [aut, cre]
Maintainer: Peti Mester <petyatoth2005@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-04-23 21:11:40 UTC
RemoteUrl: https://github.com/cran/peticontrast
RemoteRef: HEAD
RemoteSha: 6ecaf365ee66132c5dc1b664f08b9fa3286b9f62