# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- 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: 1.1.1 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" ; Green and MacLeod (2016) "SIMR: an R package for power analysis of generalized linear mixed models by simulation" .' authors: - family-names: Litovchenko given-names: Alex email: al4877@columbia.edu preferred-citation: type: manual title: 'mixpower: Simulation-Based Power Analysis for Mixed-Effects Models' authors: - family-names: Litovchenko given-names: Alex email: al4877@columbia.edu year: '2026' notes: R package version 1.1.1 url: https://github.com/alitovchenko/mixpower repository: https://alitovchenko.r-universe.dev repository-code: https://github.com/alitovchenko/mixpower commit: dc08d3f5e509b4a4fee8d3fb489fdbeb8aebde83 url: https://github.com/alitovchenko/mixpower date-released: '2026-06-18' contact: - family-names: Litovchenko given-names: Alex email: al4877@columbia.edu