gim: Generalized Integration Model

Implements the generalized integration model, which integrates individual-level data and summary statistics under a generalized linear model framework. It supports continuous and binary outcomes to be modeled by the linear and logistic regression models. For binary outcome, data can be sampled in prospective cohort studies or case-control studies. Described in Zhang et al. (2020)<doi:10.1093/biomet/asaa014>.

Version: 0.33.1
Depends: R (≥ 3.4.0)
Imports: numDeriv
Suggests: knitr, rmarkdown
Published: 2020-06-12
Author: Han Zhang, Kai Yu
Maintainer: Han Zhang <zhangh.ustc at>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: gim results


Reference manual: gim.pdf
Vignettes: Generalized Integration Model
Package source: gim_0.33.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: gim_0.33.1.tgz, r-oldrel: gim_0.33.1.tgz
Old sources: gim archive


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