# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "Spower" in publications use:' type: software license: GPL-3.0-or-later title: 'Spower: Power Analyses using Monte Carlo Simulations' version: 0.2.3 doi: 10.32614/CRAN.package.Spower abstract: Provides a general purpose simulation-based power analysis API for routine and customized simulation experimental designs. The package focuses exclusively on Monte Carlo simulation variants of (expected) prospective power analyses, criterion analyses, compromise analyses, sensitivity analyses, and a priori analyses. The default simulation experiment functions found within the package provide stochastic variants of the power analyses subroutines found in the G*Power 3.1 software (Faul, Erdfelder, Buchner, and Lang, 2009) , along with various other parametric and non-parametric power analysis examples (e.g., mediation analyses). Supporting functions are also included, such as for building empirical power curve estimates, which utilize a similar API structure. authors: - family-names: Chalmers given-names: Phil email: rphilip.chalmers@gmail.com orcid: https://orcid.org/0000-0001-5332-2810 repository: https://philchalmers.r-universe.dev repository-code: https://github.com/philchalmers/Spower/issues?state=open commit: 46de172cde8a8448ab6ee8ab7325ae7485a7d449 url: https://github.com/philchalmers/Spower contact: - family-names: Chalmers given-names: Phil email: rphilip.chalmers@gmail.com orcid: https://orcid.org/0000-0001-5332-2810