genelambda.obo: Generate tuning parameters

In HeteroGGM: Gaussian Graphical Model-Based Heterogeneity Analysis

Generate tuning parameters

Description

Generating a sequence of the tuning parameters (lambda1, lambda2, and lambda3).

Usage

genelambda.obo(nlambda1=10,lambda1_max=1,lambda1_min=0.05,
                      nlambda2=10,lambda2_max=1,lambda2_min=0.01,
                      nlambda3=10,lambda3_max=5,lambda3_min=0.5)

Arguments

nlambda1	The numbers of lambda 1.
lambda1_max	The maximum values of lambda 1.
lambda1_min	The minimum values of lambda 1.
nlambda2	The numbers of lambda 2.
lambda2_max	The maximum values of lambda 2.
lambda2_min	The minimum values of lambda 2.
nlambda3	The numbers of lambda 3.
lambda3_max	The maximum values of lambda 3.
lambda3_min	The minimum values of lambda 3.

Value

A sequence of the tuning parameters (lambda1, lambda2, and lambda3).

Author(s)

Mingyang Ren

Examples

lambda <- genelambda.obo(nlambda1=5,lambda1_max=0.5,lambda1_min=0.1, nlambda2=15,lambda2_max=1.5,
                         lambda2_min=0.1, nlambda3=10,lambda3_max=3.5,lambda3_min=0.5)
lambda

HeteroGGM documentation built on Oct. 11, 2023, 5:14 p.m.