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) <doi:10.48550/arXiv.2505.03995> and Shang, Tsao, and Zhang (2025b) <doi:10.48550/arXiv.2508.02057>.
| Version: | 3.0.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats |
| Published: | 2026-04-23 |
| DOI: | 10.32614/CRAN.package.ebdm |
| Author: | Longwen Shang [aut], Min Tsao [aut], Xuekui Zhang [aut, cre, fnd] |
| Maintainer: | Xuekui Zhang <ubcxzhang at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | ebdm results |
| Reference manual: | ebdm.html , ebdm.pdf |
| Package source: | ebdm_3.0.1.tar.gz |
| Windows binaries: | r-devel: ebdm_3.0.1.zip, r-release: ebdm_3.0.1.zip, r-oldrel: ebdm_3.0.1.zip |
| macOS binaries: | r-release (arm64): ebdm_3.0.1.tgz, r-oldrel (arm64): ebdm_3.0.1.tgz, r-release (x86_64): ebdm_3.0.1.tgz, r-oldrel (x86_64): ebdm_3.0.1.tgz |
| Old sources: | ebdm archive |
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