CRAN/E | Bayesrel

Bayesrel

Bayesian Reliability Estimation

Installation

About

Functionality for reliability estimates. For 'unidimensional' tests: Coefficient alpha, 'Guttman's' lambda-2/-4/-6, the Greatest lower bound and coefficient omega_u ('unidimensional') in a Bayesian and a frequentist version. For multidimensional tests: omega_t (total) and omega_h (hierarchical). The results include confidence and credible intervals, the probability of a coefficient being larger than a cutoff, and a check for the factor models, necessary for the omega coefficients. The method for the Bayesian 'unidimensional' estimates, except for omega_u, is sampling from the posterior inverse 'Wishart' for the covariance matrix based measures (see 'Murphy', 2007, . The Bayesian omegas (u, t, and h) are obtained by 'Gibbs' sampling from the conditional posterior distributions of (1) the single factor model, (2) the second-order factor model, (3) the bi-factor model, (4) the correlated factor model ('Lee', 2007, doi:10.1002/9780470024737).

github.com/juliuspfadt/Bayesrel
Bug report File report

Key Metrics

Version 0.7.7
R ≥ 2.10
Published 2023-08-09 261 days ago
Needs compilation? yes
License GPL-3
CRAN checks Bayesrel results

Downloads

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Maintainer

Maintainer

Julius M. Pfadt

julius.pfadt@gmail.com

Authors

Julius M. Pfadt

aut / cre

Don van den Bergh

aut

Joris Goosen

aut

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

Bayesrel archive

Depends

R ≥ 2.10

Imports

LaplacesDemon
MASS
lavaan
coda
methods
stats
graphics
Rdpack
Rcpp ≥ 1.0.4.6

Suggests

knitr
rmarkdown
tinytest

LinkingTo

Rcpp
RcppArmadillo