predict.IBIS {UNCOVER}

Prediction method for IBIS

Description

Predicts the response of new observations using an object of class "IBIS".

Usage

## S3 method for class 'IBIS'
predict(object, newX = NULL, type = "prob", ...)

Arguments

object

Object of class "IBIS"

newX

Data frame containing new observations to predict. If not specified the fitted values will be returned instead.

type

Either "prob" for a probabilistic output or "response" for a hard output of the predicted response

...

Additional arguments affecting the predictions produced

Details

Note that this is a Bayesian prediction method as objects with class "IBIS" will provide samples from a posterior.

Value

Either a matrix of response probabilities for each observation or a vector of predicted responses for each observation.

See Also

IBIS.logreg()

Examples

# First we generate a co-variate matrix X and binary response vector y
CM <- data.frame(X1 = rnorm(100),X2 = rnorm(100))
rv <- sample(0:1,100,replace=TRUE)

# Now we can obtain 1000 samples from the posterior from a standard
# multivariate normal prior
out <- IBIS.logreg(X = CM,y = rv)

# The fitted values of out can be obtained
predict(out)
predict(out,type = "response")

# We can also predict the response for new data
CM.2 <- data.frame(X1 = rnorm(10),X2 = rnorm(10))
cbind(CM.2,predict(out,newX = CM.2))