CRAN

glmaag 0.0.6

Adaptive LASSO and Network Regularized Generalized Linear Models

Released May 10, 2019 by Kaiqiao Li

This package cannot yet be used with Renjin it depends on other packages which are not available: data.table 1.12.2, shiny 1.3.2, plotROC 2.2.1, ggplot2 3.1.1, and survminer 0.4.3

Dependencies

ggplot2 3.1.1 survminer 0.4.3 data.table 1.12.2 shiny 1.3.2 plotROC 2.2.1 pROC 1.14.0 gridExtra 2.3 OptimalCutpoints 1.1-4 foreach 1.4.4 maxstat 0.7-25 Matrix 1.2-17 Rcpp survival 2.44-1.1 RcppArmadillo 0.9.400.2.0 huge 1.3.2

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.

Source

R
C
C++

View GitHub Mirror

Release History