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).


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.33.1 by Han Zhang, a year ago

Report a bug at

Browse source code at

Authors: Han Zhang , Kai Yu

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports numDeriv

Suggests knitr, rmarkdown

See at CRAN