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.

Version: 0.28.0
Depends: R (≥ 3.4.0)
Imports: numDeriv
Published: 2019-11-04
Author: Han Zhang
Maintainer: Han Zhang <zhangh.ustc at gmail.com>
BugReports: https://github.com/zhangh12/gim/issues
License: MIT + file LICENSE
URL: https://github.com/zhangh12/gim
NeedsCompilation: no
CRAN checks: gim results

Downloads:

Reference manual: gim.pdf
Package source: gim_0.28.0.tar.gz
Windows binaries: r-devel: gim_0.28.0.zip, r-devel-gcc8: gim_0.28.0.zip, r-release: gim_0.28.0.zip, r-oldrel: gim_0.28.0.zip
OS X binaries: r-release: gim_0.28.0.tgz, r-oldrel: gim_0.28.0.tgz
Old sources: gim archive

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