predict.grain: 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
"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
References
Sren Hjsgaard (2012). Graphical Independence Networks with the
gRain Package for R. Journal of Statistical Software, 46(10), 1-26.
http://www.jstatsoft.org/v46/i10/.