Package: BayesLCA 1.9

BayesLCA: Bayesian Latent Class Analysis

Bayesian Latent Class Analysis using several different methods.

Authors:Arthur White [aut, cre], Thomas Brendan Murphy [aut, ths]

BayesLCA_1.9.tar.gz
BayesLCA_1.9.zip(r-4.7-any)BayesLCA_1.9.zip(r-4.6-any)BayesLCA_1.9.zip(r-4.5-any)
BayesLCA_1.9.tgz(r-4.6-any)BayesLCA_1.9.tgz(r-4.5-any)
BayesLCA_1.9.tar.gz(r-4.7-any)BayesLCA_1.9.tar.gz(r-4.6-any)
BayesLCA_1.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
BayesLCA/json (API)

# Install 'BayesLCA' in R:
install.packages('BayesLCA', repos = c('https://itsarthurwhite.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Alzheimer - Symptoms of Patients Suffering from Alzheimer's Syndrome

On CRAN:

Conda:

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

2.53 score 2 stars 42 scripts 455 downloads 4 mentions 27 exports 21 dependencies

Last updated from:67f6bd1b5e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK140
source / vignettesOK174
linux-release-x86_64OK138
macos-release-arm64OK90
macos-oldrel-arm64OK92
windows-develOK93
windows-releaseOK74
windows-oldrelOK94
wasm-releaseOK98

Exports:as.mcmc.blca.gibbsblcablca.bootblca.emblca.em.sdblca.em.seblca.gibbsblca.vbblca2mcmcdata.blcaMAPplot.blcaplot.blca.bootplot.blca.emplot.blca.gibbsplot.blca.vbprint.blcaprint.summary.blcarlcasummary.blcasummary.blca.bootsummary.blca.emsummary.blca.gibbssummary.blca.vbunMAPZscoreZscore.internal

Dependencies:classcodadotCall64e1071fieldslatticemapsMASSMatrixMatrixModelsmcmcMCMCpacknlmeproxyquantregRColorBrewerRcppspamSparseMsurvivalviridisLite