screen_cvfix.lasso

Upper bound on number of active predictors,

no.predictors

Cross-validated Lasso screening and upper bound on number of predictors

Package nethet is an implementation of statistical solid
    methodology enabling the analysis of network heterogeneity from
    high-dimensional data. It combines several implementations of recent
    statistical innovations useful for estimation and comparison of networks in
    a heterogeneous, high-dimensional setting. In particular, we provide code
    for formal two-sample testing in Gaussian graphical models (differential
    network and GGM-GSA; Stadler and Mukherjee, 2013, 2014) and make a novel
    network-based clustering algorithm available (mixed graphical lasso,
    Stadler and Mukherjee, 2013).

screen_cvfix.lasso: Cross-validated Lasso screening and upper bound on number of predictors.

Description

Usage

Arguments

Value

Details

Examples