Package: blatent 0.1.3

blatent: Bayesian Latent Variable Models

Estimation of latent variable models using Bayesian methods. Currently estimates the loglinear cognitive diagnosis model of Henson, Templin, and Willse (2009) <doi:10.1007/s11336-008-9089-5>.

Authors:Jonathan Templin [aut, cre]

blatent_0.1.3.tar.gz
blatent_0.1.3.zip(r-4.7-x86_64)blatent_0.1.3.zip(r-4.7-arm64)blatent_0.1.3.zip(r-4.6-x86_64)blatent_0.1.3.zip(r-4.6-arm64)blatent_0.1.3.zip(r-4.5-x86_64)
blatent_0.1.3.tgz(r-4.6-x86_64)blatent_0.1.3.tgz(r-4.6-arm64)blatent_0.1.3.tgz(r-4.5-x86_64)blatent_0.1.3.tgz(r-4.5-arm64)
blatent_0.1.3.tar.gz(r-4.7-arm64)blatent_0.1.3.tar.gz(r-4.7-x86_64)blatent_0.1.3.tar.gz(r-4.6-arm64)blatent_0.1.3.tar.gz(r-4.6-x86_64)
blatent_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
blatent/json (API)

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

Bug tracker:https://github.com/jonathantemplin/blatent/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

3.00 score 2 stars 6 scripts 487 downloads 12 exports 8 dependencies

Last updated from:14dccfe630. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK107
linux-devel-x86_64OK137
source / vignettesOK248
linux-release-arm64OK114
linux-release-x86_64OK126
macos-release-arm64OK189
macos-release-x86_64OK238
macos-oldrel-arm64OK263
macos-oldrel-x86_64OK395
windows-devel-arm64OK383
windows-devel-x86_64OK177
windows-release-arm64OK379
windows-release-x86_64OK165
windows-oldrel-x86_64OK140
wasm-releaseOK115

Exports:blatentControlblatentEstimateblatentPPMCblatentSimulatecalculateDICcalculateWAICcreateParameterVectorQmatrixToBlatentSyntaxsetDefaultInitializeParameterssetDefaultPriorssetDefaultSimulatedParameterssetPosteriorPredictiveCheckOptions

Dependencies:codalatticeMatrixmnormtR6RcppRcppArmadillotruncnorm