summary2joint: Joint Distribution Estimation from Marginal Study Summaries
Estimates latent Gaussian joint distributions for normal continuous, binary, and ordinal variables using marginal summaries from independent studies of a common population. Fits a pairwise Gaussian working criterion using exact summary moments, with study-level sandwich uncertainty. Supports prespecified independent groups, joint event probabilities, and synthetic patient generation. Identification requires repeated joint reporting of variable pairs; heterogeneous populations, rare categories, and small study collections require caution.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | Rcpp, mvtnorm, numDeriv, stats, utils |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown |
| Published: | 2026-09-29 |
| DOI: | 10.32614/CRAN.package.summary2joint |
| Author: | Xuekui Zhang 
[aut, cre] |
| Maintainer: | Xuekui Zhang <ubcxzhang at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README, NEWS |
| CRAN checks: | summary2joint results |
Documentation:
| Reference manual: | summary2joint.html , summary2joint.pdf |
| Vignettes: |
From marginal study summaries to synthetic patients (source, R code) |
Downloads:
| Package source: | summary2joint_0.1.0.tar.gz |
| Windows binaries: | r-devel: summary2joint_0.1.0.zip, r-release: summary2joint_0.1.0.zip, r-oldrel: summary2joint_0.1.0.zip |
| macOS binaries: | r-release (arm64): summary2joint_0.1.0.tgz, r-oldrel (arm64): summary2joint_0.1.0.tgz, r-release (x86_64): summary2joint_0.1.0.tgz, r-oldrel (x86_64): summary2joint_0.1.0.tgz |
Linking:
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