Package: ebdm
Type: Package
Title: Estimating Bivariate Dependency from Marginal Data
Version: 3.0.1
Authors@R: 
    c(
      person(given = "Longwen", family = "Shang", role = c("aut"), email = "shanglongwen0918@gmail.com"),
      person(given = "Min", family = "Tsao", role = "aut"),
      person(given = "Xuekui", family = "Zhang", role = c("aut", "cre", "fnd"), email = "ubcxzhang@gmail.com")
    )
Description: Provides statistical methods for estimating bivariate
        dependency (correlation) from marginal summary statistics
        across multiple studies. The package supports three modules of
        bivariate joint distribution estimated from marginal summary
        data: (1) two binary, (2) two continuous, (3) one binary and
        one continuous These methods enable privacy-preserving joint
        estimation when individual-level data are unavailable. The
        approaches are detailed in Shang, Tsao, and Zhang (2025a)
        <doi:10.48550/arXiv.2505.03995> and Shang, Tsao, and Zhang
        (2025b) <doi:10.48550/arXiv.2508.02057>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2026-07-03 09:27:02 UTC; root
Author: Longwen Shang [aut], Min Tsao [aut], Xuekui Zhang [aut, cre,
        fnd]
Maintainer: Xuekui Zhang <ubcxzhang@gmail.com>
Repository: https://ubcxzhang.r-universe.dev
Date/Publication: 2026-04-23 17:51:45 UTC
RemoteUrl: https://github.com/cran/ebdm
RemoteRef: HEAD
RemoteSha: bd2e04565e51189212302e4f7597018b962ca215