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.
You can install the released version of slcm from CRAN with:
Or, you can be on the cutting-edge development version on GitHub using:
# install.packages("devtools")
devtools::install_github("tmsalab/slcm")To use slcm, load the package using:
From here, the SLCM model can be estimated using:
model_slcm = slcm::slcm(
y = <data>,
k = <k>
)James Joseph Balamuta and Steven Andrew Culpepper
Citing theslcm 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:
GPL (>= 2)
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