Package: SplitReg 1.0.3

Anthony Christidis

SplitReg: Split Regularized Regression

Functions for computing split regularized estimators defined in Christidis, Lakshmanan, Smucler and Zamar (2019) <doi:10.48550/arXiv.1712.03561>. The approach fits linear regression models that split the set of covariates into groups. The optimal split of the variables into groups and the regularized estimation of the regression coefficients are performed by minimizing an objective function that encourages sparsity within each group and diversity among them. The estimated coefficients are then pooled together to form the final fit.

Authors:Anthony Christidis [aut, cre], Ezequiel Smucler [aut], Ruben Zamar [aut]

SplitReg_1.0.3.tar.gz
SplitReg_1.0.3.zip(r-4.7-x86_64)SplitReg_1.0.3.zip(r-4.7-arm64)SplitReg_1.0.3.zip(r-4.6-x86_64)SplitReg_1.0.3.zip(r-4.6-arm64)
SplitReg_1.0.3.tar.gz(r-4.7-arm64)SplitReg_1.0.3.tar.gz(r-4.7-x86_64)SplitReg_1.0.3.tar.gz(r-4.6-arm64)SplitReg_1.0.3.tar.gz(r-4.6-x86_64)
SplitReg_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SplitReg/json (API)

# Install 'SplitReg' in R:
install.packages('SplitReg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

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

cppopenmp

2.00 score 20 scripts 284 downloads 1 exports 2 dependencies

Last updated from:8d0c742f13. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK92
linux-devel-x86_64OK116
source / vignettesOK240
linux-release-arm64OK97
linux-release-x86_64OK118
windows-devel-arm64OK236
windows-devel-x86_64OK154
windows-release-arm64OK251
windows-release-x86_64OK125
wasm-releaseOK101

Exports:cv.SplitReg

Dependencies:RcppRcppArmadillo