Adaptive LASSO and Network Regularized Generalized Linear Models

Efficient procedures for adaptive LASSO and network regularized for Gaussian, logistic, and Cox model. Provides network estimation procedure (combination of methods proposed by Ucar, et. al (2007) and Meinshausen and Buhlmann (2006) ), cross validation and stability selection proposed by Meinshausen and Buhlmann (2010) and Liu, Roeder and Wasserman (2010) methods. Interactive R app is available.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.0.6 by Kaiqiao Li, a year ago

Browse source code at

Authors: Kaiqiao Li [aut, cre] , Pei Fen Kuan [aut] , Xuefeng Wang [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports Rcpp, methods, stats, Matrix, ggplot2, gridExtra, maxstat, survminer, plotROC, shiny, foreach, pROC, huge, OptimalCutpoints

Depends on survival, data.table

Suggests knitr, rmarkdown

Linking to Rcpp, RcppArmadillo

See at CRAN