Package: ebdm 3.0.1

ebdm: Estimating Bivariate Dependency from Marginal Data

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>.

Authors:Longwen Shang [aut], Min Tsao [aut], Xuekui Zhang [aut, cre, fnd]

ebdm_3.0.1.tar.gz
ebdm_3.0.1.zip(r-4.7)ebdm_3.0.1.zip(r-4.6)ebdm_3.0.1.zip(r-4.5)
ebdm_3.0.1.tgz(r-4.6-any)ebdm_3.0.1.tgz(r-4.5-any)
ebdm_3.0.1.tar.gz(r-4.7-any)ebdm_3.0.1.tar.gz(r-4.6-any)
ebdm_3.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
ebdm/json (API)

# Install 'ebdm' in R:
install.packages('ebdm', repos = c('https://ubcxzhang.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.60 score 2 scripts 507 downloads 3 exports 0 dependencies

Last updated from:bd2e04565e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK106
source / vignettesOK130
linux-release-x86_64OK101
macos-release-arm64OK60
macos-oldrel-arm64OK64
windows-develOK72
windows-releaseOK72
windows-oldrelOK69
wasm-releaseOK86

Exports:cor_bincor_contest_mixture

Dependencies: