R: Pseudo-likelihood

IsingPL {IsingSampler} | R Documentation

## Pseudo-likelihood

### Description

Computes the pseudolikelihood of a dataset given an Ising Model.

### Usage

    IsingPL(x, graph, thresholds, beta, responses = c(0L, 1L))

### Arguments

`x` | A binary dataset
`graph` | Square matrix indicating the weights of the network. Must be symmetrical with 0 as diagonal.
`thresholds` | Vector indicating the thresholds, also known as the external field.
`beta` | Scalar indicating the inverse temperature.
`responses` | Response options. Typically set to `c(-1L, 1L)` or `c(0L, 1L)` (default). Must be integers!

### Value

The pseudolikelihood

### Author(s)

Sacha Epskamp (mail@sachaepskamp.com)

[Package IsingSampler version 0.2.1 Index]