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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "ebdm" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'ebdm: Estimating Bivariate Dependency from Marginal Data'
version: 3.0.1
doi: 10.32614/CRAN.package.ebdm
abstract: '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) <https://doi.org/10.48550/arXiv.2505.03995>
  and Shang, Tsao, and Zhang (2025b) <https://doi.org/10.48550/arXiv.2508.02057>.'
authors:
- family-names: Shang
  given-names: Longwen
  email: shanglongwen0918@gmail.com
- family-names: Tsao
  given-names: Min
- family-names: Zhang
  given-names: Xuekui
  email: ubcxzhang@gmail.com
repository: https://ubcxzhang.r-universe.dev
commit: bd2e04565e51189212302e4f7597018b962ca215
date-released: '2026-04-23'
contact:
- family-names: Zhang
  given-names: Xuekui
  email: ubcxzhang@gmail.com