Package: fuser 1.0.1

Frank Dondelinger

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>.

Authors:Frank Dondelinger [aut, cre], Olivier Wilkinson [aut]

fuser_1.0.1.tar.gz
fuser_1.0.1.tar.gz(r-4.5-noble)fuser_1.0.1.tar.gz(r-4.4-noble)
fuser_1.0.1.tgz(r-4.4-emscripten)fuser_1.0.1.tgz(r-4.3-emscripten)
fuser.pdf |fuser.html✨
fuser/json (API)
NEWS

# Install 'fuser' in R:
install.packages('fuser', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

2.70 score 20 scripts 123 downloads 5 exports 12 dependencies

Last updated 7 years agofrom:6cd4856235. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 11 2024
R-4.5-linux-x86_64OKDec 11 2024

Exports:bigeigenfusedL2DescentGLMNetfusedLassoProximalfusedLassoProximalIterationsTakengenerateBlockDiagonalMatrices

Dependencies:codetoolsforeachglmnetirlbaiteratorslatticeMatrixRcppRcppEigenRSpectrashapesurvival

Using the fuser package for prediction over subgroups

Frank Dondelinger

Rendered fromsubgroup_fusion.Rmdusingknitr::rmarkdownon Dec 11 2024.

Last update: 2017-08-17
Started: 2017-08-17