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:
Downloads:
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