poLCA: Polytomous Variable Latent Class Analysis. Latent class analysis and latent class regression models for polytomous outcome variables. Also known as latent structure analysis.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Gudicha, Dereje W.; Tekle, Fetene B.; Vermunt, Jeroen K.: Power and sample size computation for Wald tests in latent class models (2016)
- Bertrand, Aurélie M.E.; Hafner, Christian M.: On heterogeneous latent class models with applications to the analysis of rating scores (2014)
- Wermuth, Nanny; Marchetti, Giovanni M.: Star graphs induce tetrad correlations: for Gaussian as well as for binary variables (2014)
- Wermuth, Nanny; Marchetti, Giovanni M.; Zwiernik, Piotr: Binary distributions of concentric rings (2014)