Package: slcm 0.1.1

James Joseph Balamuta

slcm: Sparse Latent Class Model for Cognitive Diagnosis

Perform a Bayesian estimation of the exploratory Sparse Latent Class Model for Binary Data described by Chen, Y., Culpepper, S. A., and Liang, F. (2020) <doi:10.1007/s11336-019-09693-2>.

Authors:James Joseph Balamuta [aut, cre, cph], Steven Andrew Culpepper [aut, cph]

slcm_0.1.1.tar.gz
slcm_0.1.1.tar.gz(r-4.7-arm64)slcm_0.1.1.tar.gz(r-4.7-x86_64)slcm_0.1.1.tar.gz(r-4.6-arm64)slcm_0.1.1.tar.gz(r-4.6-x86_64)
slcm_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
slcm/json (API)

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

Bug tracker:https://github.com/tmsalab/slcm/issues

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

On CRAN:

Conda:

openblascppopenmp

1.70 score 1 scripts 257 downloads 2 exports 3 dependencies

Last updated from:4d9e9b39cf. Checks:4 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE126
linux-devel-x86_64NOTE134
source / vignettesOK185
linux-release-arm64NOTE129
linux-release-x86_64NOTE131
wasm-releaseOK117

Exports:attribute_pattern_table_headerslcm

Dependencies:edmdataRcppRcppArmadillo