Package: gim
Type: Package
Title: Generalized Integration Model
Version: 0.34.2
Date: 2021-08-26
Author: Han Zhang, Kai Yu
Maintainer: Han Zhang <zhangh.ustc@gmail.com>
Depends: R (>= 3.4.0)
Imports: numDeriv
Description: 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>.
License: MIT + file LICENSE
URL: https://github.com/zhangh12/gim
BugReports: https://github.com/zhangh12/gim/issues
LazyData: true
NeedsCompilation: no
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Repository: https://zhangh12.r-universe.dev
Date/Publication: 2021-08-26 05:39:20 UTC
RemoteUrl: https://github.com/zhangh12/gim
RemoteRef: HEAD
RemoteSha: f8ebca8e670882928f73a1cbdad3b085e75f82fd
Packaged: 2026-10-10 14:53:06 UTC; root