Package: multilevLCA 2.0.1

Roberto Di Mari

multilevLCA: Estimates and Plots Single-Level and Multilevel Latent Class Models

Efficiently estimates single- and multilevel latent class models with covariates, allowing for output visualization in all specifications. For more technical details, see Lyrvall et al (2023) <doi:10.48550/arXiv.2305.07276>.

Authors:Roberto Di Mari [aut, cre], Johan Lyrvall [aut], Zsuzsa Bakk [ctb], Jennifer Oser [ctb], Jouni Kuha [ctb]

multilevLCA_2.0.1.tar.gz
multilevLCA_2.0.1.tar.gz(r-4.5-noble)multilevLCA_2.0.1.tar.gz(r-4.4-noble)
multilevLCA_2.0.1.tgz(r-4.4-emscripten)multilevLCA_2.0.1.tgz(r-4.3-emscripten)
multilevLCA.pdf |multilevLCA.html✨
multilevLCA/json (API)

# Install 'multilevLCA' in R:
install.packages('multilevLCA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • dataIEA - Data for understanding of good citizenship behaviour
  • dataTOY - Artificial data set

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.60 score 588 downloads 2 exports 83 dependencies

Last updated 14 days agofrom:4cadac0c95. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 27 2025
R-4.5-linux-x86_64OKFeb 27 2025

Exports:multiLCAplot.multiLCA

Dependencies:base64encbitbit64bslibcachemclassclassIntclicliprclustMixTypecodetoolscombinatcommonmarkcpp11crayondigestdplyre1071fansifastmapfontawesomeforcatsforeachfsgenericsgluehavenhighrhmshtmltoolshttpuviteratorsjquerylibjsonliteKernSmoothklaRlabelledlaterlifecyclemagrittrMASSmemoisemimeminiUIpillarpkgconfigpracmaprettyunitsprogresspromisesproxypurrrquestionrR.cacheR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppRcppArmadilloreadrrlangrprojrootrstudioapisassshinysourcetoolsstringistringrstylertibbletictoctidyrtidyselecttzdbutf8vctrsvroomwithrxfunxtable