Package: gscaLCA
Type: Package
Title: Generalized Structure Component Analysis- Latent Class Analysis
        & Latent Class Regression
Version: 0.0.5
Authors@R: c(
              person("Jihoon", "Ryoo",
                  role = c("aut")),
              person("Seohee", "Park", email = "hee6904@gmail.com",
                  role = c("aut", "cre")),
              person("Seoungeun", "Kim",
                  role = c("aut")), 
              person("heungsun", "Hwaung",
                  role = c("aut")))
Description: 
    Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structured Component Analysis (GSCA). This is explained in Ryoo, Park, and Kim (2019) <doi:10.1007/s41237-019-00084-6>.
    It estimates the parameters of latent class prevalence and item response probability in LCA with a single line comment. It also provides graphs of item response probabilities. In addition, the package enables to estimate the relationship between the prevalence and covariates. 
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/hee6904/gscaLCA
Depends: R (>= 2.10)
Imports: gridExtra, ggplot2, stringr, progress, psych, fastDummies,
        fclust, MASS, devtools, foreach, doSNOW, nnet
Suggests: knitr, rmarkdown
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-08 19:43:11 UTC; Spenser
Author: Jihoon Ryoo [aut],
  Seohee Park [aut, cre],
  Seoungeun Kim [aut],
  heungsun Hwaung [aut]
Maintainer: Seohee Park <hee6904@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-08 21:30:02 UTC
Built: R 4.6.0; ; 2026-04-25 13:03:37 UTC; unix
