slcm
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) <https://doi.org/10.1007/s11336-019-09693-2>
Science Score: 26.0%
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○CITATION.cff file
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✓DOI references
Found 1 DOI reference(s) in README -
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Low similarity (13.2%) to scientific vocabulary
Keywords
Repository
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) <https://doi.org/10.1007/s11336-019-09693-2>
Basic Info
- Host: GitHub
- Owner: tmsalab
- Language: C++
- Default Branch: main
- Homepage: https://tmsalab.github.io/slcm/
- Size: 429 KB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
README.md
slcm
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The goal of slcm is to provide an implementation of the exploratory
Sparse Latent Class Model (SLCM) for Binary Data described by Chen, Y.,
Culpepper, S. A., and Liang, F. (2020) doi:10.1007/s11336-019-09693-2.
This package contains a new implementation of the proposed SLCM based on
the paper. You may find original papers implementation in the inst/
folder of the package.
Installation
You can install the released version of slcm from CRAN with:
r
install.packages("slcm")
Or, you can be on the cutting-edge development version on GitHub using:
``` r
install.packages("devtools")
devtools::install_github("tmsalab/slcm") ```
Usage
To use slcm, load the package using:
r
library("slcm")
From here, the SLCM model can be estimated using:
r
model_slcm = slcm::slcm(
y = <data>,
k = <k>
)
Authors
James Joseph Balamuta and Steven Andrew Culpepper
Citing the slcm package
To ensure future development of the package, please cite slcm package
if used during an analysis or simulation study. Citation information for
the package may be acquired by using in R:
r
citation("slcm")
License
GPL (>= 2)
Owner
- Name: TMSA Lab @ UIUC
- Login: tmsalab
- Kind: organization
- Repositories: 24
- Profile: https://github.com/tmsalab
Testing Measurement and Statistical Analysis Lab at the University of Illinois (UIUC)
GitHub Events
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- Push event: 1
Last Year
- Push event: 1
Committers
Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| James J Balamuta | j****a@g****m | 28 |
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Last synced: 9 months ago
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- Total pull requests: 0
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- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
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- Bot pull requests: 0
Past Year
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Packages
- Total packages: 1
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Total downloads:
- cran 172 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
- Total maintainers: 1
cran.r-project.org: slcm
Sparse Latent Class Model for Cognitive Diagnosis
- Homepage: https://github.com/tmsalab/slcm
- Documentation: http://cran.r-project.org/web/packages/slcm/slcm.pdf
- License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
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Latest release: 0.1.0
published over 2 years ago