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
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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

2 exports 2 stars 3.00 score 3 dependencies 1 scripts 165 downloads

Last updated 4 months agofrom:0bb679f2c5. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-win-x86_64NOTESep 12 2024
R-4.5-linux-x86_64NOTESep 12 2024
R-4.4-win-x86_64NOTESep 12 2024
R-4.4-mac-aarch64NOTESep 12 2024
R-4.4-mac-x86_64NOTEAug 13 2024
R-4.3-win-x86_64NOTESep 12 2024
R-4.3-mac-x86_64NOTESep 12 2024
R-4.3-mac-aarch64NOTESep 12 2024

Exports:attribute_pattern_table_headerslcm

Dependencies:edmdataRcppRcppArmadillo