Bayesian Test Reliability Estimation

When samples contain missing data, are small, or are suspected of bias, estimation of scale reliability may not be trustworthy. A recommended solution for this common problem has been Bayesian model estimation. Bayesian methods rely on user specified information from historical data or researcher intuition to more accurately estimate the parameters. This package provides a user friendly interface for estimating test reliability. Here, reliability is modeled as a beta distributed random variable with shape parameters alpha=true score variance and beta=error variance (Tanzer & Harlow, 2020) .


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install.packages("brxx")

0.1.2 by Joshua Ray Tanzer, 8 months ago


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


Authors: Joshua Ray Tanzer


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports MASS, rstan

Depends on MCMCpack, GPArotation, TeachingDemos, blavaan, blme


See at CRAN