Package: SALES 1.0.2

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.zip(r-4.5)SALES_1.0.2.zip(r-4.4)SALES_1.0.2.zip(r-4.3)
SALES_1.0.2.tgz(r-4.4-x86_64)SALES_1.0.2.tgz(r-4.4-arm64)SALES_1.0.2.tgz(r-4.3-x86_64)SALES_1.0.2.tgz(r-4.3-arm64)
SALES_1.0.2.tar.gz(r-4.5-noble)SALES_1.0.2.tar.gz(r-4.4-noble)
SALES_1.0.2.tgz(r-4.4-emscripten)SALES_1.0.2.tgz(r-4.3-emscripten)
SALES.pdf |SALES.html
SALES/json (API)

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

Peer review:

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

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

On CRAN:

3.23 score 2 stars 17 scripts 162 downloads 1 mentions 6 exports 2 dependencies

Last updated 2 years agofrom:58130b8c7b. Checks:OK: 1 ERROR: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-win-x86_64ERRORNov 03 2024
R-4.5-linux-x86_64ERRORNov 03 2024
R-4.4-win-x86_64ERRORNov 03 2024
R-4.4-mac-x86_64ERRORNov 03 2024
R-4.4-mac-aarch64ERRORNov 03 2024
R-4.3-win-x86_64ERRORNov 03 2024
R-4.3-mac-x86_64ERRORNov 03 2024
R-4.3-mac-aarch64ERRORNov 03 2024

Exports:coefcpernetcv.cpernetcv.erneternetpredict

Dependencies:latticeMatrix