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: 2026-04-22 10:51:15 UTC; petya
Author: Peti Mester [aut, cre]
Maintainer: Peti Mester <petyatoth2005@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-23 19:40:02 UTC
