logratio: Log-likelihood-ratio statistics used in DiffNet

In nethet: A bioconductor package for high-dimensional exploration of biological network heterogeneity

Description

Log-likelihood-ratio statistics used in Differential Network

Usage

logratio(x1, x2, x, sig1, sig2, sig, mu1, mu2, mu)

Arguments

x1	data-matrix sample 1
x2	data-matrix sample 2
x	pooled data-matrix
sig1	covariance sample 1
sig2	covariance sample 2
sig	pooled covariance
mu1	mean sample 1
mu2	mean sample 2
mu	pooled mean

Value

Returns a list with named elements 'twiceLR', 'sig1', 'sig2', 'sig'. 'twiceLR' is twice the log-likelihood-ratio statistic.

Author(s)

n.stadler

Examples

x1=matrix(rnorm(100),50,2)
x2=matrix(rnorm(100),50,2)
logratio(x1,x2,rbind(x1,x2),diag(1,2),diag(1,2),diag(1,2),c(0,0),c(0,0),c(0,0))$twiceLR

nethet documentation built on Nov. 8, 2020, 6:54 p.m.