Bayesian Reliability Estimation

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) ; 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) .


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install.packages("Bayesrel")

0.1.0 by Julius Pfadt, a month ago


Browse source code at https://github.com/cran/Bayesrel


Authors: Julius Pfadt and Don van den Bergh


Documentation:   PDF Manual  


GPL-3 license


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


See at CRAN