Independently Interpretable Lasso

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. <>.


Reference manual

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0.0.2 by Masaaki Takada, 3 months ago

Browse source code at

Authors: Masaaki Takada

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports Rcpp, Matrix

Suggests testthat, knitr, rmarkdown, MASS, parallel

Linking to Rcpp, BH

See at CRAN