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) <arXiv:1611.00953>.

Version: 1.0.0
Depends: R (≥ 3.2.0)
Imports: Matrix, irlba, Rcpp, glmnet, RSpectra
LinkingTo: Rcpp, RcppEigen
Suggests: testthat, ggplot2, knitr, rmarkdown
Published: 2017-08-18
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


Reference manual: fuser.pdf
Vignettes: Fuser Subgroup Prediction
Package source: fuser_1.0.0.tar.gz
Windows binaries: r-devel: fuser_1.0.0.zip, r-release: fuser_1.0.0.zip, r-oldrel: fuser_1.0.0.zip
OS X El Capitan binaries: r-release: fuser_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: fuser_1.0.0.tgz


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