Package: blatent 0.1.3

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_0.1.3.tar.gz
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://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

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

openblascppopenmp

1.70 score 6 scripts 556 downloads 12 exports 8 dependencies

Last updated from:96a2e5a1a1. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK190
linux-devel-x86_64OK144
source / vignettesOK210
linux-release-arm64OK169
linux-release-x86_64OK171
wasm-releaseOK130

Exports:blatentControlblatentEstimateblatentPPMCblatentSimulatecalculateDICcalculateWAICcreateParameterVectorQmatrixToBlatentSyntaxsetDefaultInitializeParameterssetDefaultPriorssetDefaultSimulatedParameterssetPosteriorPredictiveCheckOptions

Dependencies:codalatticeMatrixmnormtR6RcppRcppArmadillotruncnorm