Package: Bayesrel
Type: Package
Title: Bayesian Reliability Estimation
Version: 0.7.4.1
Date: 2022-04-06
Authors@R: c(person("Julius M.", "Pfadt", email = "julius.pfadt@gmail.com",
                  role = c("aut", "cre")),
             person("Don", "van den Bergh",
                  role = c("aut")), 
             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 and (2) the second-order factor model
    ('Lee', 2007, <https://onlinelibrary.wiley.com/doi/book/10.1002/9780470024737>). 
URL: https://github.com/juliuspf/Bayesrel
BugReports: https://github.com/juliuspf/Bayesrel/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: LaplacesDemon, MASS, lavaan, coda, methods, stats, graphics,
        progress, Rdpack, Rcpp (>= 1.0.4.6)
LinkingTo: Rcpp, RcppArmadillo
RdMacros: Rdpack
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
Suggests: testthat (>= 2.1.0), knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2022-04-06 18:51:44 UTC; julius
Author: Julius M. Pfadt [aut, cre],
  Don van den Bergh [aut],
  Joris Goosen [aut]
Maintainer: Julius M. Pfadt <julius.pfadt@gmail.com>
Repository: CRAN
Date/Publication: 2022-04-06 20:22:36 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 09:41:12 UTC; windows
Archs: i386, x64
