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) .


Reference manual

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0.1.2 by Joshua Ray Tanzer, a year ago

Browse source code at

Authors: Joshua Ray Tanzer

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports MASS, rstan

Depends on MCMCpack, GPArotation, TeachingDemos, blavaan, blme

See at CRAN