<p>A Laplacian matrix for the predictors</p>

datasets

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.

Kaiqiao Li

glmaag

Adaptive LASSO and Network Regularized Generalized Linear Models

L0 function

<p>a matrix with 20 rows and 20 columns</p>

L0: sample network 0

Description

Usage

Arguments

Format