Package: regcorr
Type: Package
Title: Regression Models of Pearson Correlation Coefficient
Version: 0.1.0
Authors@R: c(
    person("Ze", "Lin", role = c("aut", "cre"), email = "zlin5858@163.com"),
    person("Bo", "Li", role = "aut"),
    person("Jinyao", "Shen", role = "aut")
    )
Description: Provides statistical tools for evaluating how covariates
    influence the strength of Pearson correlation coefficients between
    two response variables. Supports bivariate normal and bivariate
    binary responses, with likelihood-based inference and bootstrap-based
    significance testing. The methodology is based on Dufera, Liu and Xu
    (2023) "Regression models of Pearson correlation coefficient"
    <doi:10.1080/24754269.2023.2164970>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
URL: https://github.com/lonze-nb/regcorr
BugReports: https://github.com/lonze-nb/regcorr/issues
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-05-30 13:32:53 UTC; 34351
Author: Ze Lin [aut, cre],
  Bo Li [aut],
  Jinyao Shen [aut]
Maintainer: Ze Lin <zlin5858@163.com>
Repository: CRAN
Date/Publication: 2026-06-03 13:50:02 UTC
Built: R 4.6.0; ; 2026-06-03 16:48:12 UTC; unix
