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
 [aut, cre,
cph],
Steven Andrew Culpepper
[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:
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