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 (may not be active yet)
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: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): summary2joint_0.1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): summary2joint_0.1.0.tgz, r-oldrel (x86_64): summary2joint_0.1.0.tgz

Linking:

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