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 <yuwen.gu@uconn.edu>, Hui Zou <zouxx019@umn.edu>

SALES_1.0.2.tar.gz
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 = 'https://cloud.r-project.org')

Bug tracker:https://github.com/knightgu/sales/issues0 issues

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

On CRAN:

Conda:

fortran

1.00 score 166 downloads 1 mentions 6 exports 2 dependencies

Last updated 3 years agofrom:8a5cb8729b. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 28 2025
R-4.5-linux-x86_64OKMar 28 2025
R-4.4-linux-x86_64OKMar 28 2025

Exports:coefcpernetcv.cpernetcv.erneternetpredict

Dependencies:latticeMatrix

Citation

To cite package ‘SALES’ in publications use:

Gu Y, Zou H (2022). 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. R package version 1.0.2, https://CRAN.R-project.org/package=SALES.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {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},
    author = {Yuwen Gu and Hui Zou},
    year = {2022},
    note = {R package version 1.0.2},
    url = {https://CRAN.R-project.org/package=SALES},
  }