ggm_compare: Compare Gaussian Graphical Models

In GGMnonreg: Non-Regularized Gaussian Graphical Models

Description

Compare Gaussian Graphical Models

Usage

ggm_compare(Yg1, Yg2, method = "spearman", alpha = 0.05)

Arguments

Yg1	The data matrix of dimensions n (observations) by p (nodes) for group one.
Yg2	The data matrix of dimensions n (observations) by p (nodes) for group two.
method	Character string. Which type of correlation coefficients to be computed. Options include "pearson" (default), "kendall", "spearman", and "polychoric".
alpha	The desired significance level (defaults to 0.05). Note that 1 - alpha corresponds to specificity.

Value

An object of class ggm_compare

Examples

# data

Yg1 <- na.omit(subset(bfi, gender == 1)[,1:10])
Yg2 <- na.omit(subset(bfi, gender == 2)[,1:10])

# compare relations
fit <- ggm_compare(Yg1, Yg2)

GGMnonreg documentation built on April 8, 2021, 5:06 p.m.