Package: ebdm
Type: Package
Title: Estimating Bivariate Dependency from Marginal Data
Version: 1.1.0
Authors@R: 
    c(
      person(given = "Longwen", family = "Shang", role = c("aut", "cre"), email = "shanglongwen0918@gmail.com"),
      person(given = "Min", family = "Tsao", role = "aut"),
      person(given = "Xuekui", family = "Zhang", role = "aut")
    )
Description: Provides maximum likelihood methods to estimate bivariate dependency (correlation) from marginal summary statistics in multi-study settings. 
    The package supports both binary and continuous variables assumed to follow a bivariate normal distribution,
    enabling privacy-preserving joint estimation when individual-level data are unavailable.
    The binary method is fully described in the manuscript by Shang, Tsao and Zhang (2025) 
    <doi:10.48550/arXiv.2505.03995>: "Estimating the Joint Distribution of Two Binary Variables from Their Marginal Summaries".
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-07-17 19:26:28 UTC; shanglongwen
Author: Longwen Shang [aut, cre],
  Min Tsao [aut],
  Xuekui Zhang [aut]
Maintainer: Longwen Shang <shanglongwen0918@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-17 19:40:01 UTC
Built: R 4.5.1; ; 2025-07-17 19:49:32 UTC; unix
