# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "peticontrast" in publications use:'
type: software
license: MIT
title: 'peticontrast: Professional Contrast Coding for OLS Models'
version: 0.1.0
doi: 10.32614/CRAN.package.peticontrast
abstract: 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:
- family-names: Mester
  given-names: Peti
  email: petyatoth2005@gmail.com
repository: https://cran.r-universe.dev
commit: 6ecaf365ee66132c5dc1b664f08b9fa3286b9f62
date-released: '2026-04-23'
contact:
- family-names: Mester
  given-names: Peti
  email: petyatoth2005@gmail.com