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).


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Reference manual

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install.packages("gim")

0.33.1 by Han Zhang, 4 months ago


https://github.com/zhangh12/gim


Report a bug at https://github.com/zhangh12/gim/issues


Browse source code at https://github.com/cran/gim


Authors: Han Zhang , Kai Yu


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports numDeriv

Suggests knitr, rmarkdown


See at CRAN