predict.grain {gRain}R Documentation

Make predictions from a probabilistic network

Description

Makes predictions (either as the most likely state or as the conditional distributions) of variables conditional on finding (evidence) on other variables in an independence network.

Usage

## S3 method for class 'grain':
predict(object, response, predictors, newdata, type = "class", ...)

Arguments

object A grain object
response A vector of response variables to make predictions on
predictors A vector of predictor variables to make predictions from. Defaults to all variables that are note responses.
newdata A data frame
type If "class", the most probable class is returned; if "distribution" the conditional distrubtion is returned.
... Not used

Value

A list with components

pred A list with the predictions
pFinding A vector with the probability of the finding (evidence) on which the prediction is based

Author(s)

Søren Højsgaard, sorenh@agrsci.dk

See Also

grain


[Package gRain version 0.7.0 Index]