ebdm: Implementation of Estimating Binary Dependency from Marginal
Data
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".
| Version: |
1.0.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
stats |
| Published: |
2025-06-05 |
| DOI: |
10.32614/CRAN.package.ebdm |
| Author: |
Longwen Shang [aut, cre],
Min Tsao [aut],
Xuekui Zhang [aut] |
| Maintainer: |
Longwen Shang <shanglongwen0918 at gmail.com> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| CRAN checks: |
ebdm results |
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