IsingPL: Pseudo-likelihood

In IsingSampler: Sampling Methods and Distribution Functions for the Ising Model

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 ([e-mail])

IsingSampler documentation built on Aug. 21, 2023, 5:13 p.m.