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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 "mixpower" in publications use:'
type: software
license: MIT
title: 'mixpower: Simulation-Based Power Analysis for Mixed-Effects Models'
version: 0.1.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.mixpower
abstract: 'A comprehensive, simulation-based toolkit for power and sample-size analysis
  for linear and generalized linear mixed-effects models (LMMs and GLMMs). Supports
  Gaussian, binomial, Poisson, and negative binomial families via ''lme4''; Wald and
  likelihood-ratio tests; multi-parameter sensitivity grids; power curves and minimum
  sample-size solvers; parallel evaluation with deterministic seeds; and full reproducibility
  (manifests, result bundling, and export to CSV/JSON). Delivers thorough diagnostics
  per run (failure rate, singular-fit rate, effective N) and publication-ready summary
  tables. References: Bates et al. (2015) "Fitting Linear Mixed-Effects Models Using
  lme4" <https://doi.org/10.18637/jss.v067.i01>; Green and MacLeod (2016) "SIMR: an
  R package for power analysis of generalized linear mixed models by simulation" <https://doi.org/10.1111/2041-210X.12504>.'
authors:
- family-names: Alex Litovchenko
  given-names: Mixpower
  email: al4877@columbia.edu
preferred-citation:
  type: manual
  title: 'mixpower: Simulation-Based Power Analysis for Linear Mixed-Effects Models'
  authors:
  - family-names: Alex Litovchenko
    given-names: Mixpower
    email: al4877@columbia.edu
  year: '2024'
  notes: R package version 0.1.0
repository: https://cran.r-universe.dev
repository-code: https://github.com/alitovchenko/mixpower
commit: e301643423baa6e2b32053dd5159c1ca6fbd453d
url: https://github.com/alitovchenko/mixpower
date-released: '2026-02-12'
contact:
- family-names: Alex Litovchenko
  given-names: Mixpower
  email: al4877@columbia.edu