Package: LassoNet 0.8.3

LassoNet: 3CoSE Algorithm

Contains functions to estimate a penalized regression model using 3CoSE algorithm, see Weber, Striaukas, Schumacher Binder (2018) <doi:10.2139/ssrn.3211163>.

Authors:Jonas Striaukas [aut, trl, cre] and Matthias Weber [aut]

LassoNet_0.8.3.tar.gz
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LassoNet.pdf |LassoNet.html✨
LassoNet/json (API)

# Install 'LassoNet' in R:
install.packages('LassoNet', repos = c('https://jstriaukas.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

cpp

1.70 score 154 downloads 11 exports 1 dependencies

Last updated 5 years agofrom:6206114474. Checks:5 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 20 2025
R-4.5-win-x86_64OKFeb 20 2025
R-4.5-mac-x86_64OKFeb 20 2025
R-4.5-mac-aarch64OKFeb 20 2025
R-4.5-linux-x86_64OKFeb 20 2025
R-4.4-win-x86_64NOTEFeb 20 2025
R-4.4-mac-x86_64NOTEFeb 20 2025
R-4.4-mac-aarch64NOTEFeb 20 2025
R-4.3-win-x86_64NOTEFeb 20 2025
R-4.3-mac-x86_64NOTEFeb 20 2025
R-4.3-mac-aarch64NOTEFeb 20 2025

Exports:beta.update.netbetanew_lasso_cppfastolsget.BxByget.signs.Mget.xilasso.net.fixedlasso.net.gridmat.to.laplacianmatrix.M.updatesoft.thresh

Dependencies:Rcpp

Citation

To cite package ‘LassoNet’ in publications use:

Striaukas J, Weber M (2020). LassoNet: 3CoSE Algorithm. R package version 0.8.3, https://CRAN.R-project.org/package=LassoNet.

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 = {LassoNet: 3CoSE Algorithm},
    author = {Jonas Striaukas and Matthias Weber},
    year = {2020},
    note = {R package version 0.8.3},
    url = {https://CRAN.R-project.org/package=LassoNet},
  }

Readme and manuals

LassoNet

The LassoNet package is the implementation of 3CoSE algorithm proposed in the article [1] and [2].

References

[1] Weber, Matthias and Schumacher, Martin and Binder, Harald, Regularized Regression Incorporating Network Information: Simultaneous Estimation of Covariate Coefficients and Connection Signs (June 28, 2014). Tinbergen Institute Discussion Paper 14-089/I. Available at SSRN: https://ssrn.com/abstract=2466289 or http://dx.doi.org/10.2139/ssrn.2466289

[2] Weber, Matthias and Striaukas, Jonas and Schumacher, Martin and Binder, Harald, Network-Constrained Covariate Coefficient and Connection Sign Estimation (June 24, 2018). CORE Discussion Paper 2018/18 -OR- Bank of Lithuania Discussion Paper No 8/2018. Available at SSRN: https://ssrn.com/abstract=3211163 or http://dx.doi.org/10.2139/ssrn.3211163