Package: Bayesrel
Type: Package
Title: Bayesian Reliability Estimation
Version: 0.6.1
Author: Julius M. Pfadt and Don van den Bergh
Maintainer: Julius M. Pfadt <julius.pfadt@gmail.com>
Description: Functionality for the most common single test reliability estimates is provided:  
    Coefficient alpha, 'Guttman's' lambda-2/-4/-6, the greatest lower bound and coefficient omega. 
    The Bayesian estimates are provided with credible intervals. 
    The frequentist estimates are provided with bootstrapped confidence intervals
    The method for the Bayesian estimates, except for omega, 
    is sampling from the posterior inverse 'Wishart' for the covariance matrix based measures. 
    See 'Murphy' (2007) <https://www.seas.harvard.edu/courses/cs281/papers/murphy-2007.pdf>. 
    In the case of omega it is 'Gibbs' Sampling from the joint conditional distributions of a single factor model. 
    See 'Lee' (2007, <doi:10.1002/9780470024737>). 
    The glb method is adjusted code from the 'Rcsdp' package by 'Hector Corrada Bravo', 
    <https://CRAN.R-project.org/package=Rcsdp>; 
    lambda-4 is from 'Benton' (2015) <doi:10.1007/978-3-319-07503-7_19>; 
    the principal factor analysis for the frequentist omega is from 'Schlegel' (2017) 
    <https://www.r-bloggers.com/iterated-principal-factor-method-of-factor-analysis-with-r/>; 
    and the analytic alpha interval is from 'Bonett' and 'Wright' (2014) <doi:10.1002/job.1960>. 
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: LaplacesDemon, Rcsdp, MASS, ggplot2, ggridges, lavaan,
        plotrix, coda, methods, stats, graphics, Rdpack
RdMacros: Rdpack
RoxygenNote: 7.0.2
Depends: R (>= 2.10)
Suggests: testthat (>= 2.1.0)
NeedsCompilation: no
Packaged: 2020-03-04 15:37:10 UTC; julius
Repository: CRAN
Date/Publication: 2020-03-04 16:10:14 UTC
Built: R 4.0.2; ; 2020-08-02 17:04:27 UTC; windows
