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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "PowRPriori" in publications use:'
type: software
license: MIT
title: 'PowRPriori: Power Analysis via Data Simulation for (Generalized) Linear Mixed
  Effects Models'
version: 0.2.0
doi: 10.32614/CRAN.package.PowRPriori
abstract: Conduct a priori power analyses via Monte-Carlo style data simulation for
  linear and generalized linear mixed-effects models (LMMs/GLMMs). Provides a user-friendly
  workflow with helper functions to easily define fixed and random effects as well
  as diagnostic functions to evaluate the adequacy of the results of the power analysis.
authors:
- family-names: Grill
  given-names: Markus
  email: markus.grill@uni-wh.de
repository: https://mirgll.r-universe.dev
repository-code: https://github.com/mirgll/PowRPriori
commit: 8465baae15892c652f9d5d4a1b1a1f0c1e9ab2ec
url: https://github.com/mirgll/PowRPriori
date-released: '2026-05-12'
contact:
- family-names: Grill
  given-names: Markus
  email: markus.grill@uni-wh.de