eval_dcsbm_loglr: Log-likelihood ratio of two DCSBMs (fast with poi = TRUE)

In aaamini/nett: Network Analysis and Community Detection

Log-likelihood ratio of two DCSBMs (fast with poi = TRUE)

Description

Computes the log-likelihood ratio of one DCSBM relative to another, using estimated parameters B and theta based on the given label vectors.

Usage

eval_dcsbm_loglr(A, labels, poi = TRUE, eps = 1e-06)

Arguments

A	adjacency matrix
labels	a matrix with two columns representing two different label vectors
poi	whether to use Poisson version of likelihood (instead of Bernoulli)
eps	truncation threshold for the Bernoulli likelihood, used when parameter phat is close to 1 or 0.

Details

The log-likehood ratio is computed between two DCSBMs specified by the columns of labels. The function computes the log-likelihood ratio of the model with labels[ , 2] w.r.t. the model with labels[ , 1]. This is often used with two label vectors fitted using different number of communities (say K and K+1).

When poi is set to TRUE, the function uses fast sparse matrix computations and is scalable to large sparse networks.

Value

log-likelihood ratio

See Also

eval_dcsbm_like, eval_dcsbm_bic

aaamini/nett documentation built on Nov. 12, 2022, 6:25 p.m.