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ebdm  

Estimating Bivariate Dependency from Marginal Data
View on CRAN: Click here


Download and install ebdm package within the R console
Install from CRAN:
install.packages("ebdm")

Install from Github:
library("remotes")
install_github("cran/ebdm")

Install by package version:
library("remotes")
install_version("ebdm", "3.0.1")



Attach the package and use:
library("ebdm")
Maintained by
Longwen Shang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-06-05
Latest Update: 2025-07-17
Description:
Provides a maximum likelihood estimation method to recover the joint distribution of two binary variables using only marginal summary data from multiple studies. This approach allows for privacy-preserving estimation in settings where individual-level data are unavailable. The 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".
How to cite:
Longwen Shang (2025). ebdm: Estimating Bivariate Dependency from Marginal Data. R package version 3.0.1, https://cran.r-project.org/web/packages/ebdm. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:34), 1.0.0 (2025-06-05 13:10), 1.1.0 (2025-07-17 21:40), 3.0.0 (2025-10-16 22:20)
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Complete documentation for ebdm
Functions, R codes and Examples using the ebdm R package
Full ebdm package functions and examples
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