Mll: Evaluation of graphs

In epiNEM: epiNEM

Description

Computes marginal log-likelihood for model Phi given observed data matrix D1

Usage

Mll(Phi, D1, D0, ltype = "marginal", para = c(0.13, 0.05))

Arguments

Phi	model to be evaluated
D1	observed data matrix
D0	complementary D1
ltype	likelihood type either "marginal" or "maximum"
para	false positive and false negative rates

Value

list with likelihood poster probability, egene positions

Examples

Phi <- matrix(sample(c(0,1), 9, replace = TRUE), 3, 3)
data <- matrix(sample(c(0,1), 3*10, replace = TRUE), 10, 3)
rownames(Phi) <- colnames(Phi) <- colnames(data) <- c("Ikk1", "Ikk2", "RelA")
score <- Mll(Phi, D1 <- data, D0 <- 1 - data)

epiNEM documentation built on Nov. 8, 2020, 6:51 p.m.