Generalized Structure Component Analysis- Latent Class Analysis

Execute Latent Class Analysis (LCA) by using Generalized Structured Component Analysis (GSCA). This is explained in Ryoo, Park, and Kim (2009) . It estimates the parameters of latent class prevalence and item response probability in LCA with a single line comment. It also provide graphs of item response probabilities.


Reference manual

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0.0.2 by Seohee Park, 5 months ago

Browse source code at

Authors: Jihoon Ryoo [aut] , Seohee Park [aut, cre] , Seoungeun Kim [aut] , heungsun Hwaung [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports gridExtra, ggplot2, stringr, progress, psych, fastDummies, fclust, MASS, devtools, foreach, doSNOW

Suggests knitr, rmarkdown, R.rsp

See at CRAN