predict.motbf_fit: Predict from an MoTBF Bayesian Network

In MoTBFs: Learning Hybrid Bayesian Networks using Mixtures of Truncated Basis Functions

Predict from an MoTBF Bayesian Network

Description

Predict from an MoTBF Bayesian Network

Usage

## S3 method for class 'motbf_fit'
predict(
  object,
  target,
  data,
  method = NULL,
  prob = FALSE,
  parallel = FALSE,
  ...
)

Arguments

object	An object of class "motbf_fit"
target	A character string indicating the variable to be predicted
data	A data frame containing the predictive variables
method	A character string indicating the method to perform the inference. Options are NULL, "ve" (variable elimination) and "fs" (forward sampling).
prob	A logical value. If TRUE, the probabilities used for classification are returned as an attribute.
parallel	A logical value. If TRUE, parallelization is carried out.
...	Additional arguments used if method = "fs".

MoTBFs documentation built on Oct. 6, 2026, 1:06 a.m.