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)[https://doi.org/10.1093/biomet/asaa014].
- Version0.33.1
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release06/12/2020
Documentation
Team
Han Zhang
Kai Yu
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- Imports1 package
- Suggests2 packages