Package: FusionLearn
Type: Package
Title: Fusion Learning
Version: 0.2.1
Author: Xin Gao, Yuan Zhong, and Raymond J. Carroll
Maintainer: Yuan Zhong <aqua.zhong@gmail.com>
Description: The fusion learning method uses a model selection
        algorithm to learn from multiple data sets across different
        experimental platforms through group penalization. The
        responses of interest may include a mix of discrete and
        continuous variables. The responses may share the same set of
        predictors, however, the models and parameters differ across
        different platforms. Integrating information from different
        data sets can enhance the power of model selection. Package is
        based on Xin Gao, Raymond J. Carroll (2017)
        <arXiv:1610.00667v1>.
License: GPL (>= 2)
Suggests: knitr, rmarkdown, MASS, ggplot2, mvtnorm
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2026-07-04 07:48:07 UTC; root
Repository: https://hermitz9.r-universe.dev
Date/Publication: 2022-04-24 21:10:02 UTC
RemoteUrl: https://github.com/cran/FusionLearn
RemoteRef: HEAD
RemoteSha: 0eb081d000583b3ebdbeff6235c078581d374062