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DESCRIPTION
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DESCRIPTION
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Package: Bayesrel
Type: Package
Title: Bayesian Reliability Estimation
Version: 0.7.7
Date: 2023-08-08
Authors@R: c(person("Julius M.", "Pfadt", email = "julius.pfadt@gmail.com",
role = c("aut", "cre"), comment = c(ORCID = "0000-0002-0758-5502")),
person("Don", "van den Bergh",
role = c("aut"), comment = c(ORCID = "0000-0002-9838-7308")),
person("Joris", "Goosen",
role = c("aut"))
)
Description: 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,
<https://groups.seas.harvard.edu/courses/cs281/papers/murphy-2007.pdf>.
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, <https://onlinelibrary.wiley.com/doi/book/10.1002/9780470024737>).
URL: https://github.com/juliuspfadt/Bayesrel
BugReports: https://github.com/juliuspfadt/Bayesrel/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports:
LaplacesDemon,
MASS,
lavaan,
coda,
methods,
stats,
graphics,
Rdpack,
Rcpp (>= 1.0.4.6)
LinkingTo: Rcpp, RcppArmadillo
RdMacros: Rdpack
RoxygenNote: 7.2.3
Depends: R (>= 2.10)
Suggests:
knitr,
rmarkdown,
tinytest