IsingSampler: IsingPL – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

IsingPL

Pseudo-likelihood

Computes the pseudolikelihood of a dataset given an Ising Model.

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

`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!

The pseudolikelihood

Sacha Epskamp (mail@sachaepskamp.com)

Sampling Methods and Distribution Functions for the Ising Model

v0.2.1

GPL-2

Authors

Sacha Epskamp

Initial release