Package: blatent 0.1.2

Jonathan Templin

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.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://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

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

1.70 score 6 scripts 236 downloads 12 exports 8 dependencies

Last updated 12 months agofrom:fec3180f26. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-linux-x86_64OKNov 03 2024

Exports:blatentControlblatentEstimateblatentPPMCblatentSimulatecalculateDICcalculateWAICcreateParameterVectorQmatrixToBlatentSyntaxsetDefaultInitializeParameterssetDefaultPriorssetDefaultSimulatedParameterssetPosteriorPredictiveCheckOptions

Dependencies:codalatticeMatrixmnormtR6RcppRcppArmadillotruncnorm