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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: | 1.5.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp (≥ 1.0.9), magrittr, MASS, dplyr, tidyr, klaR, foreach, parallel |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2024-05-02 |
| 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 |
| Reference manual: | multilevLCA.pdf |
| Package source: | multilevLCA_1.5.1.tar.gz |
| Windows binaries: | r-devel: multilevLCA_1.5.zip, r-release: multilevLCA_1.5.zip, r-oldrel: multilevLCA_1.5.zip |
| macOS binaries: | r-release (arm64): multilevLCA_1.5.1.tgz, r-oldrel (arm64): multilevLCA_1.5.1.tgz, r-release (x86_64): multilevLCA_1.5.1.tgz, r-oldrel (x86_64): multilevLCA_1.5.1.tgz |
| Old sources: | multilevLCA archive |
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