Package: gscaLCA
Type: Package
Title: Generalized Structure Component Analysis- Latent Class Analysis
Version: 0.0.2
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) by using Generalized Structured Component Analysis (GSCA). This is explained in Ryoo, Park, and Kim (2009) <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 provide graphs of item response probabilities. 
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
Suggests: knitr, rmarkdown, R.rsp
RoxygenNote: 6.1.1.9000
NeedsCompilation: no
Packaged: 2019-10-06 21:38:27 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: 2019-10-09 09:00:02 UTC
