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: 2026-07-02 08:07:26 UTC; root
Author: Jihoon Ryoo [aut], Seohee Park [aut, cre], Seoungeun Kim [aut],
        heungsun Hwaung [aut]
Maintainer: Seohee Park <hee6904@gmail.com>
Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev
        libfribidi-dev git make libharfbuzz-dev libgit2-dev libicu-dev
        libjpeg-dev libpng-dev libtiff-dev libuv1-dev libwebp-dev
        libxml2-dev libssl-dev libx11-dev zlib1g-dev
Repository: https://hee6904.r-universe.dev
Date/Publication: 2020-06-08 20:30:02 UTC
RemoteUrl: https://github.com/cran/gscaLCA
RemoteRef: HEAD
RemoteSha: c6edb398a11d48ef15fc7786a9341a1d50d451ba