Package: multilevLCA 1.5.1
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:
multilevLCA_1.5.1.tar.gz
multilevLCA_1.5.1.tar.gz(r-4.5-noble)multilevLCA_1.5.1.tar.gz(r-4.4-noble)
multilevLCA_1.5.1.tgz(r-4.4-emscripten)multilevLCA_1.5.1.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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 months agofrom:226e410be6. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 31 2024 |
| R-4.5-linux-x86_64 | OK | Aug 31 2024 |
Exports:multiLCAplot.multiLCA
Dependencies:base64encbitbit64bslibcachemclassclassIntclicliprcodetoolscombinatcommonmarkcpp11crayondigestdplyre1071fansifastmapfontawesomeforcatsforeachfsgenericsgluehavenhighrhmshtmltoolshttpuviteratorsjquerylibjsonliteKernSmoothklaRlabelledlaterlifecyclemagrittrMASSmemoisemimeminiUIpillarpkgconfigprettyunitsprogresspromisesproxypurrrquestionrR.cacheR.methodsS3R.ooR.utilsR6rappdirsRcppRcppArmadilloreadrrlangrprojrootrstudioapisassshinysourcetoolsstringistringrstylertibbletidyrtidyselecttzdbutf8vctrsvroomwithrxfunxtable
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Estimates and Plots Single-Level and Multilevel Latent Class Models | multilevLCA-package |
| Data for understanding of good citizenship behaviour | dataIEA |
| Artificial data set | dataTOY |
| Estimates and plots single- and multilevel latent class models | multiLCA |
| Plots conditional response probabilities | plot.multiLCA |