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FusionLearn
View on CRAN: Click
here
Download and install FusionLearn package within the R console
Install from CRAN:
install.packages("FusionLearn")
Install from Github:
library("remotes")
install_github("cran/FusionLearn") Install by package version:
library("remotes")
install_version("FusionLearn", "0.2.1") Attach the package and use:
library("FusionLearn")
Maintained by
Yuan Zhong
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-01
Latest Update: 2022-04-24
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) .
How to cite:
Yuan Zhong (2018). FusionLearn: Fusion Learning. R package version 0.2.1, https://cran.r-project.org/web/packages/FusionLearn. Accessed 26 Aug. 2026.
Previous versions and publish date:
Other packages that cited FusionLearn R package
View FusionLearn citation profile
Other R packages that FusionLearn depends,
imports, suggests or enhances
Complete documentation for FusionLearn
Functions, R codes and Examples using
the FusionLearn R package
Some associated functions: FusionLearn-package . fusionbase . fusionbinary . fusionmixed . mockgene . stockindex .
Some associated R codes: FusionLearn-internal.R . fusionbase.R . fusionbase.fit.R . fusionbinary.R . fusionbinary.fit.R . fusionmixed.R . fusionmixed.fit.R . Full FusionLearn package functions and examples
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