juliuspf/Bayesrel: Bayesian Reliability Estimation

Functionality for the most common single test reliability estimates is provided: 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>.

Getting started

Package details

AuthorJulius Pfadt and Don van den Bergh
MaintainerJulius Pfadt <[email protected]>
LicenseGPL-3
Version0.1.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("juliuspf/Bayesrel")
juliuspf/Bayesrel documentation built on May 25, 2019, 4:02 a.m.