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>.

Version: 0.1.0
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: edmdata
Published: 2023-08-12
Author: James Joseph Balamuta ORCID iD [aut, cre, cph], Steven Andrew Culpepper ORCID iD [aut, cph]
Maintainer: James Joseph Balamuta <balamut2 at illinois.edu>
BugReports: https://github.com/tmsalab/slcm/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/tmsalab/slcm, https://tmsalab.github.io/slcm/
NeedsCompilation: yes
Citation: slcm citation info
Materials: README
In views: Psychometrics
CRAN checks: slcm results

Documentation:

Reference manual: slcm.pdf

Downloads:

Package source: slcm_0.1.0.tar.gz
Windows binaries: r-prerel: slcm_0.1.0.zip, r-release: slcm_0.1.0.zip, r-oldrel: slcm_0.1.0.zip
macOS binaries: r-prerel (arm64): slcm_0.1.0.tgz, r-release (arm64): slcm_0.1.0.tgz, r-oldrel (arm64): slcm_0.1.0.tgz, r-prerel (x86_64): slcm_0.1.0.tgz, r-release (x86_64): slcm_0.1.0.tgz

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