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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 "bayest" in publications use:'
type: software
license: GPL-3.0-only
title: 'bayest: Effect Size Targeted Bayesian Two-Sample t-Tests via Markov Chain
  Monte Carlo in Gaussian Mixture Models'
version: '1.5'
doi: 10.32614/CRAN.package.bayest
abstract: Provides an Markov-Chain-Monte-Carlo algorithm for Bayesian t-tests on the
  effect size. The underlying Gibbs sampler is based on a two-component Gaussian mixture
  and approximates the posterior distributions of the effect size, the difference
  of means and difference of standard deviations. A posterior analysis of the effect
  size via the region of practical equivalence is provided, too. For more details
  about the Gibbs sampler see Kelter (2019) <arXiv:1906.07524>.
authors:
- family-names: Kelter
  given-names: Riko
  email: riko.kelter@uni-siegen.de
repository: https://riko-k.r-universe.dev
commit: 45fd89f2cc1b14cc5e4365b1a3690368530e9341
date-released: '2024-04-05'
contact:
- family-names: Kelter
  given-names: Riko
  email: riko.kelter@uni-siegen.de