3CoSE Algorithm

Contains functions to estimate a penalized regression model using 3CoSE algorithm, see Weber, Striaukas, Schumacher Binder (2018) .


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

Reference manual

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install.packages("LassoNet")

0.8.3 by Jonas Striaukas, 7 years ago


Browse source code at https://github.com/cran/LassoNet


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


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp

Suggests snowfall

Linking to Rcpp


See at CRAN