So far, it provides the most common single test reliability estimates, being: Coefficient Alpha, Guttman's lambda-2/-4/-6, greatest lower bound and Mcdonald's Omega. The Bayesian estimates are provided with credible intervals. The method for the Bayesian estimates, except for omega, is sampling from the posterior inverse Wishart for the covariance matrix based measures. See Murphy (2007) <https://www.seas.harvard.edu/courses/cs281/papers/murphy-2007.pdf>. Gibbs Sampling from the joint conditional distributions of a single factor model in the case of omega. See Lee (2007, ISBN:978-0-470-02424-9). Methods for the glb are from Moltner and Revelle (2018) <https://www.rdocumentation.org/packages/psych/versions/1.8.10/topics/glb.algebraic>; lambda-4 is from Benton (2015) <doi:10.1007/978-3-319-07503-7_19>; the principal factor analysis is from Schlegel (2017) <https://www.r-bloggers.com/iterated-principal-factor-method-of-factor-analysis-with-r/>; and the analytic alpha interval is from Bonnett and Wright (2014) <doi:10.1002/job.1960>.

Version: | 0.1.0 |

Depends: | R (≥ 2.10) |

Imports: | LaplacesDemon, Rcsdp, MASS, ggplot2, ggridges, lavaan, plotrix, coda, methods, stats, graphics, Rdpack |

Published: | 2019-01-20 |

Author: | Julius Pfadt and Don van den Bergh |

Maintainer: | Julius Pfadt <julius.pfadt at gmail.com> |

License: | GPL-3 |

NeedsCompilation: | no |

Materials: | README |

CRAN checks: | Bayesrel results |

Reference manual: | Bayesrel.pdf |

Package source: | Bayesrel_0.1.0.tar.gz |

Windows binaries: | r-devel: Bayesrel_0.1.0.zip, r-release: Bayesrel_0.1.0.zip, r-oldrel: Bayesrel_0.1.0.zip |

OS X binaries: | r-release: Bayesrel_0.1.0.tgz, r-oldrel: Bayesrel_0.1.0.tgz |

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