Bayesian Test Reliability Estimation R package brxx version 0.1.2 CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) 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) <doi:10.1080/00273171.2020.1854082>. Software Depends: MCMCpack, GPArotation, TeachingDemos, blavaan, blme Imports: MASS, rstan Joshua Ray Tanzer <jtanzer@lifespan.org> Comprehensive R Archive Network (CRAN) Joshua Ray Tanzer MIT + file LICENSE (https://CRAN.R-project.org/package=brxx/LICENSE) 2021-01-26 application/tgz https://CRAN.R-project.org/package=brxx doi:10.32614/CRAN.package.brxx