Package: SALES 1.0.2

Yuwen Gu

SALES: The (Adaptive) Elastic Net and Lasso Penalized Sparse Asymmetric Least Squares (SALES) and Coupled Sparse Asymmetric Least Squares (COSALES) using Coordinate Descent and Proximal Gradient Algorithms

A coordinate descent algorithm for computing the solution paths of the sparse and coupled sparse asymmetric least squares, including the (adaptive) elastic net and Lasso penalized SALES and COSALES regressions.

Authors:Yuwen Gu <[email protected]>, Hui Zou <[email protected]>

SALES_1.0.2.tar.gz
SALES_1.0.2.tar.gz(r-4.7-arm64)SALES_1.0.2.tar.gz(r-4.7-x86_64)SALES_1.0.2.tar.gz(r-4.6-arm64)SALES_1.0.2.tar.gz(r-4.6-x86_64)
SALES_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
SALES/json (API)

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

Bug tracker:https://github.com/knightgu/sales/issues

Uses libs:
  • fortran– Runtime library for GNU Fortran applications

On CRAN:

Conda:

fortran

1.26 score 18 scripts 161 downloads 1 mentions 6 exports 2 dependencies

Last updated from:8a5cb8729b. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK132
linux-devel-x86_64OK132
source / vignettesOK179
linux-release-arm64OK165
linux-release-x86_64OK126
wasm-releaseOK108

Exports:coefcpernetcv.cpernetcv.erneternetpredict

Dependencies:latticeMatrix