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>.

Package details

AuthorHan Zhang, Kai Yu
MaintainerHan Zhang <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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gim documentation built on July 1, 2020, 6:29 p.m.