glmaag: 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) <doi:10.1093/bioinformatics/btm423> and Meinshausen and Buhlmann (2006) <doi:10.1214/009053606000000281>), cross validation and stability selection proposed by Meinshausen and Buhlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x> and Liu, Roeder and Wasserman (2010) <arXiv:1006.3316> methods. Interactive R app is available.

Package details

AuthorKaiqiao Li [aut, cre], Pei Fen Kuan [aut], Xuefeng Wang [aut]
MaintainerKaiqiao Li <[email protected]>
LicenseMIT + file LICENSE
Version0.0.6
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("glmaag")

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glmaag documentation built on May 10, 2019, 9:04 a.m.