DLCA: Divisive Latent Class Analysis
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 (may not be active yet) |
| 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] |
Documentation:
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