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) . Both algorithms use expectation-maximization and Newton-Raphson optimization and are implemented in 'C++' for speed through 'Rcpp'.


Reference manual

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install.packages("DLCA")

1.1 by Daniel W. van der Palm, 2 months ago


Browse source code at https://github.com/cran/DLCA


Authors: Daniel W. van der Palm [aut, cre] , L. Andries van der Ark [ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp

Linking to Rcpp

System requirements: OpenMP


See at CRAN