Package: slcm 0.1.0

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_0.1.0.tar.gz
slcm_0.1.0.zip(r-4.5)slcm_0.1.0.zip(r-4.4)slcm_0.1.0.zip(r-4.3)
slcm_0.1.0.tgz(r-4.4-x86_64)slcm_0.1.0.tgz(r-4.4-arm64)slcm_0.1.0.tgz(r-4.3-x86_64)slcm_0.1.0.tgz(r-4.3-arm64)
slcm_0.1.0.tar.gz(r-4.5-noble)slcm_0.1.0.tar.gz(r-4.4-noble)
slcm_0.1.0.tgz(r-4.4-emscripten)slcm_0.1.0.tgz(r-4.3-emscripten)
slcm.pdf |slcm.html
slcm/json (API)

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

Peer review:

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:

latent-class-modelpsychometricsrcpparmadillosparse

3.00 score 2 stars 1 scripts 185 downloads 2 exports 3 dependencies

Last updated 5 months agofrom:0bb679f2c5. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-win-x86_64NOTENov 11 2024
R-4.5-linux-x86_64NOTENov 11 2024
R-4.4-win-x86_64NOTENov 11 2024
R-4.4-mac-x86_64NOTENov 11 2024
R-4.4-mac-aarch64NOTENov 11 2024
R-4.3-win-x86_64NOTENov 11 2024
R-4.3-mac-x86_64NOTENov 11 2024
R-4.3-mac-aarch64NOTENov 11 2024

Exports:attribute_pattern_table_headerslcm

Dependencies:edmdataRcppRcppArmadillo