Package: Bayesrel
Type: Package
Title: Bayesian Reliability Estimation
Version: 0.7.1
Date: 2021-09-13
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 in a Bayesian and a frequentist version. 
    For multidimensional tests: omega-total and omega-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, 
    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 (unidimensional, hierarchical, and total) are obtained by 
    'Gibbs' Sampling from the conditional posterior distributions of 
    (1) the single factor model and (2) the higher order factor model
    ('Lee', 2007, <doi: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,
        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: 2021-09-13 08:29:14 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: 2021-09-13 15:30:29 UTC
