Package: iilasso
Type: Package
Title: Independently Interpretable Lasso
Version: 0.0.2
Date: 2018-06-21
Author: Masaaki Takada
Maintainer: Masaaki Takada <tkdmah@gmail.com>
Description: 
  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.
  <http://proceedings.mlr.press/v84/takada18a/takada18a.pdf>.
License: MIT + file LICENSE
Imports: Rcpp, Matrix
LinkingTo: Rcpp, BH
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown, MASS, parallel
VignetteBuilder: knitr
URL: http://proceedings.mlr.press/v84/takada18a/takada18a.pdf
NeedsCompilation: yes
Packaged: 2018-06-21 14:13:32 UTC; takada
Repository: CRAN
Date/Publication: 2018-06-21 16:52:35 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2020-08-03 06:39:28 UTC; windows
Archs: i386, x64
