logLik.dbn: Calculate the log-likelihood of a dynamic Bayesian network

In dbnR: Dynamic Bayesian Network Learning and Inference

Calculate the log-likelihood of a dynamic Bayesian network

Description

Generic method for calculating the log-likelihood of a "dbn" S3 object given some data. Calls bnlearn's logLik underneath.

Usage

## S3 method for class 'dbn'
logLik(object, dt, ...)

Arguments

object	the structure of the network
dt	the dataset to calculate the score of the network
...	additional parameters for the network scoring

Value

the log-likelihood score of the network

dbnR documentation built on June 22, 2024, 10:54 a.m.