Package: bayesefa 0.0.0.6

Steven Andrew Culpepper

bayesefa: Bayesian Exploratory Factor Analysis

Exploratory Bayesian factor analysis of continuous, mixed-type, and bounded continuous variables using the mode-jumping algorithm of Man and Culpepper (2020) <doi:10.1080/01621459.2020.1773833>.

Authors:Albert Man [aut], Steven Andrew Culpepper [aut, cre]

bayesefa_0.0.0.6.tar.gz
bayesefa_0.0.0.6.tar.gz(r-4.7-arm64)bayesefa_0.0.0.6.tar.gz(r-4.7-x86_64)bayesefa_0.0.0.6.tar.gz(r-4.6-arm64)bayesefa_0.0.0.6.tar.gz(r-4.6-x86_64)
bayesefa_0.0.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bayesefa/json (API)

# Install 'bayesefa' in R:
install.packages('bayesefa', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascppopenmp

1.00 score 8 downloads 6 exports 2 dependencies

Last updated from:0d1d4ba91f. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK218
linux-devel-x86_64OK139
source / vignettesOK214
linux-release-arm64OK137
linux-release-x86_64OK110
wasm-releaseOK118

Exports:EFA_Mode_JumperIFA_Mode_JumperIFA_Mode_Jumper_MixedResponsesmin2LL_onomixedresponse_posterior_predictionproposal2

Dependencies:RcppRcppArmadillo