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)blatent_0.1.3.zip(r-4.6)blatent_0.1.3.zip(r-4.5)
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✨
card.svg |card.png
blatent/json (API)
NEWS

# 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 546 downloads 12 exports 8 dependencies

Last updated from:14dccfe630. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK149
linux-devel-x86_64OK142
source / vignettesOK189
linux-release-arm64OK147
linux-release-x86_64OK187
macos-release-arm64OK241
macos-release-x86_64OK380
macos-oldrel-arm64OK193
macos-oldrel-x86_64OK255
windows-develOK168
windows-releaseOK147
windows-oldrelOK136
wasm-releaseOK126

Exports:blatentControlblatentEstimateblatentPPMCblatentSimulatecalculateDICcalculateWAICcreateParameterVectorQmatrixToBlatentSyntaxsetDefaultInitializeParameterssetDefaultPriorssetDefaultSimulatedParameterssetPosteriorPredictiveCheckOptions

Dependencies:codalatticeMatrixmnormtR6RcppRcppArmadillotruncnorm