calc_likelihood_score: Calculate Gaussian Likelihood score.

In GNET2: Constructing gene regulatory networks from expression data through functional module inference

Description

Calculate Gaussian Likelihood score.

Usage

calc_likelihood_score(x, group_labels)

Arguments

x	A n by p matrix.
group_labels	A vector of length n, indicating the group of rows.

Value

The sum of log likelihood score of each group on each column.

Examples

calc_likelihood_score(x = matrix(rnorm(5*10),5,10), group_labels = c(rep(1,2),rep(2,3)))

GNET2 documentation built on Nov. 8, 2020, 8:03 p.m.