brxx: 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) <doi:10.1080/00273171.2020.1854082>.

Version: 0.1.2
Depends: MCMCpack, GPArotation, TeachingDemos, blavaan, blme
Imports: MASS, rstan
Published: 2021-01-26
DOI: 10.32614/CRAN.package.brxx
Author: Joshua Ray Tanzer
Maintainer: Joshua Ray Tanzer <jtanzer at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
In views: MissingData
CRAN checks: brxx results


Reference manual: brxx.pdf


Package source: brxx_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): brxx_0.1.2.tgz, r-oldrel (arm64): brxx_0.1.2.tgz, r-release (x86_64): brxx_0.1.2.tgz, r-oldrel (x86_64): brxx_0.1.2.tgz
Old sources: brxx archive


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