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>.
| Version: |
2.0.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
Rcpp (≥ 1.0.9), magrittr, MASS, dplyr, tidyr, klaR, foreach, parallel, clustMixType, pracma, tictoc |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Published: |
2025-02-04 |
| DOI: |
10.32614/CRAN.package.multilevLCA |
| Author: |
Roberto Di Mari [aut, cre],
Johan Lyrvall [aut],
Zsuzsa Bakk [ctb],
Jennifer Oser [ctb],
Jouni Kuha [ctb] |
| Maintainer: |
Roberto Di Mari <roberto.dimari at unict.it> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| In views: |
Psychometrics |
| CRAN checks: |
multilevLCA results |