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Provides algorithms for estimating divisive and standard latent class models. The divisive latent class method follows van der Palm, van der Ark and Vermunt (2016) <doi:10.1007/s00357-016-9195-5>. Both algorithms use expectation-maximization and Newton-Raphson optimization and are implemented in 'C++' for speed through 'Rcpp'.
| Version: | 1.0 |
| Imports: | Rcpp (≥ 0.11.4) |
| LinkingTo: | Rcpp |
| Published: | 2026-08-07 |
| DOI: | 10.32614/CRAN.package.DLCA |
| Author: | Daniel W. van der Palm [aut, cre], L. Andries van der Ark [ctb] |
| Maintainer: | Daniel W. van der Palm <danielvdpalm at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| SystemRequirements: | OpenMP |
| CRAN checks: | DLCA results [issues need fixing before 2026-08-21] |
| Reference manual: | DLCA.html , DLCA.pdf |
| Package source: | DLCA_1.0.tar.gz |
| Windows binaries: | r-devel: DLCA_1.0.zip, r-release: DLCA_1.0.zip, r-oldrel: DLCA_1.0.zip |
| macOS binaries: | r-release (arm64): DLCA_1.0.tgz, r-oldrel (arm64): DLCA_1.0.tgz, r-release (x86_64): DLCA_1.0.tgz, r-oldrel (x86_64): DLCA_1.0.tgz |
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