Package: slcm 0.1.1

James Joseph Balamuta

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>.

Authors:James Joseph Balamuta [aut, cre, cph], Steven Andrew Culpepper [aut, cph]

slcm_0.1.1.tar.gz
slcm_0.1.1.zip(r-4.7)slcm_0.1.1.zip(r-4.6)slcm_0.1.1.zip(r-4.5)
slcm_0.1.1.tgz(r-4.6-x86_64)slcm_0.1.1.tgz(r-4.6-arm64)slcm_0.1.1.tgz(r-4.5-x86_64)slcm_0.1.1.tgz(r-4.5-arm64)
slcm_0.1.1.tar.gz(r-4.7-arm64)slcm_0.1.1.tar.gz(r-4.7-x86_64)slcm_0.1.1.tar.gz(r-4.6-arm64)slcm_0.1.1.tar.gz(r-4.6-x86_64)
slcm_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
slcm/json (API)

# Install 'slcm' in R:

install.packages('slcm', repos = c('https://tmsalab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tmsalab/slcm/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

On CRAN:

latent-class-model psychometrics rcpparmadillo sparse openblas cpp openmp

3.00 score 2 stars 1 scripts 228 downloads 2 exports 3 dependencies

Last updated from:54922c3749. Checks:11 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	137
linux-devel-x86_64	NOTE	125
source / vignettes	OK	178
linux-release-arm64	NOTE	120
linux-release-x86_64	NOTE	120
macos-release-arm64	NOTE	104
macos-release-x86_64	NOTE	221
macos-oldrel-arm64	NOTE	99
macos-oldrel-x86_64	NOTE	196
windows-devel	NOTE	132
windows-release	NOTE	98
windows-oldrel	NOTE	99
wasm-release	OK	108

Exports:attribute_pattern_table_header slcm

Dependencies:edmdata Rcpp RcppArmadillo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Generate attribute pattern table header	attribute_pattern_table_header
Print the SLCM object	print.slcm
Sparse Latent Class Model for Cognitive Diagnosis (SLCM)	slcm