log_prob.mistnet_network: Calculate the log-likelihood of a network object

In davharris/mistnet2: Neural Networks with Latent Random Variables

Description

Calculate the log-likelihood of a network object

Usage

## S3 method for class 'mistnet_network'
log_prob(object, state, par, include_penalties, ...)

Arguments

object	A network object
state	An optional network_state object. If not included, state will be calculated by feedforward.
par	a vector of network parameters
include_penalties	Should penalty terms (e.g. from prior distributions) be included in the log-density?
...	Additional arguments (currently not used.)

davharris/mistnet2 documentation built on May 14, 2019, 9:28 p.m.