DESCRIPTION

Package: SurrogateRsq
Type: Package
Title: Goodness-of-Fit Analysis for Categorical Data using the Surrogate R-Squared
Version: 0.2.1.9000
Authors@R: 
  c(person(given = "Xiaorui", family = "Zhu",
           role = c("aut", "cre", "cph"),
           email = "zhuxiaorui1989@gmail.com",
           comment = c(ORCID = "0000-0001-8533-3055")),
    person(given = "Zewei", family = "Lin", 
           role = c("aut", "ctb"), 
           email = "linzw@mail.uc.edu"),
    person(given = "Dungang", family = "Liu",
           role = c("aut", "ctb"),
           email = "dungang.liu@uc.edu", 
           comment = c(ORCID = "0000-0001-5340-9465")),
    person(given = "Brandon", family = "Greenwell", 
           role = c("ctb"), 
           email = "greenwell.brandon@gmail.com"))
Maintainer: Xiaorui (Jeremy) Zhu <zhuxiaorui1989@gmail.com>
Description: To assess and compare the models' goodness of fit, R-squared is one of the most 
              popular measures. For categorical data analysis, however, no universally adopted 
              R-squared measure can resemble the ordinary least square (OLS) R-squared for 
              linear models with continuous data. This package implement the surrogate R-squared
              measure for categorical data analysis, which is proposed in the study of Dungang Liu,
              Xiaorui Zhu, Brandon Greenwell, and Zewei Lin (2022) <doi:10.1111/bmsp.12289>. It
              can generate a point or interval measure of the surrogate R-squared. It can also 
              provide a ranking measure of the percentage contribution of each variable to the 
              overall surrogate R-squared. This ranking assessment allows one to check the 
              importance of each variable in terms of their explained variance. This package can
              be jointly used with other existing R packages for variable selection and model 
              diagnostics in the model-building process. 
License: GPL (>=2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Depends:
  R (>= 3.5.0),
  MASS (>= 7.3-54), 
  PAsso (>= 0.1.10), 
  progress (>= 1.2.0),
  scales (>= 1.1.1)
Suggests: 
    R.rsp,
    knitr,
    rmarkdown,
    testthat (>= 3.0.0),
    dplyr (>= 1.1.1)
Config/testthat/edition: 3
URL: https://xiaorui.site/SurrogateRsq/
BugReports: https://github.com/XiaoruiZhu/SurrogateRsq/issues
VignetteBuilder: R.rsp
Roxygen: list(markdown = TRUE)