Package: blatent 0.1.2

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_0.1.2.tar.gz
blatent_0.1.2.zip(r-4.5)blatent_0.1.2.zip(r-4.4)blatent_0.1.2.zip(r-4.3)
blatent_0.1.2.tgz(r-4.5-x86_64)blatent_0.1.2.tgz(r-4.5-arm64)blatent_0.1.2.tgz(r-4.4-x86_64)blatent_0.1.2.tgz(r-4.4-arm64)blatent_0.1.2.tgz(r-4.3-x86_64)blatent_0.1.2.tgz(r-4.3-arm64)
blatent_0.1.2.tar.gz(r-4.5-noble)blatent_0.1.2.tar.gz(r-4.4-noble)
blatent_0.1.2.tgz(r-4.4-emscripten)blatent_0.1.2.tgz(r-4.3-emscripten)
blatent.pdf |blatent.html✨
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 314 downloads 12 exports 8 dependencies

Last updated 1 years agofrom:4d1ba549b0. Checks:6 OK, 5 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 05 2025
R-4.5-win-x86_64OKMar 05 2025
R-4.5-mac-x86_64WARNINGMar 05 2025
R-4.5-mac-aarch64WARNINGMar 05 2025
R-4.5-linux-x86_64WARNINGMar 05 2025
R-4.4-win-x86_64OKMar 05 2025
R-4.4-mac-x86_64WARNINGMar 05 2025
R-4.4-mac-aarch64WARNINGMar 05 2025
R-4.3-win-x86_64OKMar 05 2025
R-4.3-mac-x86_64OKMar 05 2025
R-4.3-mac-aarch64OKMar 05 2025

Exports:blatentControlblatentEstimateblatentPPMCblatentSimulatecalculateDICcalculateWAICcreateParameterVectorQmatrixToBlatentSyntaxsetDefaultInitializeParameterssetDefaultPriorssetDefaultSimulatedParameterssetPosteriorPredictiveCheckOptions

Dependencies:codalatticeMatrixmnormtR6RcppRcppArmadillotruncnorm