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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 |
| Reference manual: | ebdm.html , ebdm.pdf |
| Package source: | ebdm_1.1.0.tar.gz |
| Windows binaries: | r-devel: ebdm_1.1.0.zip, r-release: ebdm_1.1.0.zip, r-oldrel: ebdm_1.1.0.zip |
| macOS binaries: | r-release (arm64): ebdm_1.1.0.tgz, r-oldrel (arm64): ebdm_1.1.0.tgz, r-release (x86_64): ebdm_1.1.0.tgz, r-oldrel (x86_64): ebdm_1.1.0.tgz |
| Old sources: | ebdm archive |
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