Package: fuser
Title: Fused Lasso for High-Dimensional Regression over Groups
Version: 1.0.1
Authors@R: c(
        person("Frank", "Dondelinger", email = "fdondelinger.work@gmail.com", role = c("aut", "cre")),
        person("Olivier", "Wilkinson", role = c("aut"))
    )
Description: 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>.
Depends: R (>= 3.2.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat, ggplot2, knitr, rmarkdown
Imports: Matrix, irlba, Rcpp, glmnet, RSpectra
LinkingTo: Rcpp, RcppEigen
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-06-17 19:15:57 UTC; levendis
Author: Frank Dondelinger [aut, cre],
  Olivier Wilkinson [aut]
Maintainer: Frank Dondelinger <fdondelinger.work@gmail.com>
Repository: CRAN
Date/Publication: 2018-06-17 20:22:54 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-05 15:50:22 UTC; unix
Archs: fuser.so.dSYM
