fuser: Fused Lasso for High-Dimensional Regression over Groups

Enables high-dimensional penalized regression across heterogeneous subgroups. Fusion penalties are used to share information about the linear parameters across subgroups. The underlying model is described in detail in Dondelinger and Mukherjee (2017) <doi:10.48550/arXiv.1611.00953>.

Version:	1.0.1
Depends:	R (≥ 3.2.0)
Imports:	Matrix, irlba, Rcpp, glmnet, RSpectra
LinkingTo:	Rcpp, RcppEigen
Suggests:	testthat, ggplot2, knitr, rmarkdown
Published:	2018-06-17
DOI:	10.32614/CRAN.package.fuser
Author:	Frank Dondelinger [aut, cre], Olivier Wilkinson [aut]
Maintainer:	Frank Dondelinger <fdondelinger.work at gmail.com>
License:	GPL-3
NeedsCompilation:	yes
Materials:	README, NEWS
CRAN checks:	fuser results

Documentation:

Reference manual:	fuser.html , fuser.pdf
Vignettes:	Fuser Subgroup Prediction (source, R code)

Downloads:

Package source:	fuser_1.0.1.tar.gz
Windows binaries:	r-devel: fuser_1.0.1.zip, r-release: fuser_1.0.1.zip, r-oldrel: fuser_1.0.1.zip
macOS binaries:	r-release (arm64): fuser_1.0.1.tgz, r-oldrel (arm64): fuser_1.0.1.tgz, r-release (x86_64): fuser_1.0.1.tgz, r-oldrel (x86_64): fuser_1.0.1.tgz
Old sources:	fuser archive

Linking:

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