Bayesian Test Reliability Estimation
Overview
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.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Joshua Ray Tanzer <jtanzer@lifespan.org>’
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Documentation
- Help pages
- 15
- Examples that run
- 60%9 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran) · 4 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
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Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.2Latest
- 0.1.12020-12-02 · diff ↗
- 0.1.02020-11-11
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-11-11
- Total releases
- 3 / 6 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 19 KB
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