Package: Bayesrel 0.8.0

Bayesrel: Bayesian Reliability Estimation

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, <doi:10.1002/9780470024737>).

Authors:Julius M. Pfadt [aut, cre], Don van den Bergh [aut], Joris Goosen [aut]

Bayesrel_0.8.0.tar.gz
Bayesrel_0.8.0.zip(r-4.7-x86_64)Bayesrel_0.8.0.zip(r-4.7-arm64)Bayesrel_0.8.0.zip(r-4.6-x86_64)Bayesrel_0.8.0.zip(r-4.6-arm64)Bayesrel_0.8.0.zip(r-4.5-x86_64)
Bayesrel_0.8.0.tgz(r-4.6-x86_64)Bayesrel_0.8.0.tgz(r-4.6-arm64)Bayesrel_0.8.0.tgz(r-4.5-x86_64)Bayesrel_0.8.0.tgz(r-4.5-arm64)
Bayesrel_0.8.0.tar.gz(r-4.7-arm64)Bayesrel_0.8.0.tar.gz(r-4.7-x86_64)Bayesrel_0.8.0.tar.gz(r-4.6-arm64)Bayesrel_0.8.0.tar.gz(r-4.6-x86_64)
Bayesrel_0.8.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
Bayesrel/json (API)

# Install 'Bayesrel' in R:
install.packages('Bayesrel', repos = c('https://juliuspfadt.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/juliuspfadt/bayesrel/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • asrm - 5-Item questionnaire data from Nicolai
  • asrm_mis - 5-Item questionnaire data from Nicolai (2018) with 10 % missings
  • cavalini - 8-Item Questionnaire Data from Cavalini
  • upps - 20-item questionnaire data from Lozano et al.

On CRAN:

Conda:

cpp

3.53 score 17 scripts 643 downloads 12 exports 16 dependencies

Last updated from:86ef0813b2. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK155
linux-devel-x86_64OK205
source / vignettesOK211
linux-release-arm64OK149
linux-release-x86_64OK186
macos-release-arm64OK95
macos-release-x86_64OK319
macos-oldrel-arm64OK144
macos-oldrel-x86_64OK301
windows-devel-arm64OK230
windows-devel-x86_64OK140
windows-release-arm64OK224
windows-release-x86_64OK146
windows-oldrel-x86_64OK134
wasm-releaseOK117

Exports:bomegasmultiFitomega_fitomegaFitomegasCFAp_omegasp_strelpOmegaspStrelseco_fitsecoFitstrel

Dependencies:codaGPArotationLaplacesDemonlatticelavaanMASSmnormtnlmenumDerivpbivnormpsychquadprogrbibutilsRcppRcppArmadilloRdpack