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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
DOI: 10.32614/CRAN.package.slcm
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-devel: slcm_0.1.0.zip, r-release: slcm_0.1.0.zip, r-oldrel: slcm_0.1.0.zip
macOS binaries: r-release (arm64): slcm_0.1.0.tgz, r-oldrel (arm64): slcm_0.1.0.tgz, r-release (x86_64): slcm_0.1.0.tgz, r-oldrel (x86_64): slcm_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=slcm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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