iilasso (0.0.2)

Independently Interpretable Lasso.

http://proceedings.mlr.press/v84/takada18a/takada18a.pdf
http://cran.r-project.org/web/packages/iilasso

Efficient algorithms for fitting linear / logistic regression model with Independently Interpretable Lasso. Takada, M., Suzuki, T., & Fujisawa, H. (2018). Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables. AISTATS. .

Maintainer: Masaaki TAKADA
Author(s): Masaaki Takada

License: MIT + file LICENSE

Uses: Matrix, Rcpp, MASS, testthat, knitr, rmarkdown

Released over 1 year ago.