ebdm: Estimating Bivariate Dependency from Marginal Data
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".
| Version: |
1.1.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
stats |
| Published: |
2025-07-17 |
| 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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