Mll {epiNEM} | R Documentation

## Evaluation of graphs

### 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)

[Package epiNEM version 1.16.0 Index]