predict.bayesnet: Perform inference on network

In mickash/Adaptive-Bayesian-Networks: Adaptive Bayesian Networks.

Description

Perform inference on network

Usage

## S3 method for class 'bayesnet'
predict(net, evidence, num = 1000, update = FALSE,
  algorithm = "IS", algoSpecific = NULL)

Arguments

net	the network
evidence	vector of integers specifying known values of nodes. This can include NA values for unknown variables. You can also pass a data frame row as the function will cast it to numeric internally.
num	integer specifying the number of samples to used in inference
update	boolean specifying whether to update node parameters
algorithm	A string specifying a valid algorithm. "IS" = Importance sampling. "BS" = Backwards sampling "SU" = Selected uniform sampling "MC" = MCMC sampling
algoSpecific	An algorithm specific object:

Value

updated network with a posterior probabilities object as field posterior

mickash/Adaptive-Bayesian-Networks documentation built on Nov. 14, 2019, 12:14 a.m.