Package: gim
Type: Package
Title: Generalized Integration Model
Version: 0.33.1
Date: 2020-06-12
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
Packaged: 2020-06-12 06:24:07 UTC; Xiaojian
Repository: CRAN
Date/Publication: 2020-06-12 09:10:24 UTC
Built: R 4.6.0; ; 2026-04-26 19:05:32 UTC; unix
