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brxx  

Bayesian Test Reliability Estimation
View on CRAN: Click here


Download and install brxx package within the R console
Install from CRAN:
install.packages("brxx")

Install from Github:
library("remotes")
install_github("cran/brxx")

Install by package version:
library("remotes")
install_version("brxx", "0.1.2")



Attach the package and use:
library("brxx")
Maintained by
Joshua Ray Tanzer
[Scholar Profile | Author Map]
First Published: 2020-11-11
Latest Update: 2021-01-26
Description:
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) .
How to cite:
Joshua Ray Tanzer (2020). brxx: Bayesian Test Reliability Estimation. R package version 0.1.2, https://cran.r-project.org/web/packages/brxx. Accessed 10 Apr. 2025.
Previous versions and publish date:
0.1.0 (2020-11-11 10:50), 0.1.1 (2020-12-02 23:50)
Other packages that cited brxx R package
View brxx citation profile
Other R packages that brxx depends, imports, suggests or enhances
Complete documentation for brxx
Functions, R codes and Examples using the brxx R package
Some associated functions: bcor . bcov . bomega . bomega_general . brxx_Cor . brxx_Cor_general . brxx_ICC . brxx_ICC_general . brxx_general . prep . process . scree . standardize . summarize . unpack . 
Some associated R codes: Scree.R . Summarize.R . bcor.R . bcov.R . bomega.R . bomega_general.R . brxx_Cor.R . brxx_Cor_general.R . brxx_ICC.R . brxx_ICC_general.R . brxx_general.R . prep.R . process.R . standardize.R . unpack.R .  Full brxx package functions and examples
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