zhangh12/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>.
Getting started
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Package details |
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| Author | Han Zhang, Kai Yu |
| Maintainer | Han Zhang <zhangh.ustc@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.34.2 |
| URL | https://github.com/zhangh12/gim |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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