predict.UNCOVER {UNCOVER}

Prediction method for UNCOVER

Description

Predicts the response of new observations and their cluster assignment using an object of class "UNCOVER".

Usage

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

Arguments

object

Object of class "UNCOVER"

newX

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

type

Either "prob" for a probabilistic response prediction 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 and so samples of the posterior, defined by "UNCOVER" object provided, will be obtained through SMC methods for prediction. See IBIS.logreg() for more details.

Value

Either a data frame of response probabilities with cluster assignment for each observation or a data frame of predicted responses with cluster assignment for each observation.

See Also

UNCOVER(), IBIS.logreg()

Examples

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

# We can then run UNCOVER with no deforestation criteria
UN.none <- UNCOVER(X = CM,y = rv, deforest_criterion = "None", verbose = FALSE)

# The fitted values of UN.none can then be obtained
predict(UN.none)
predict(UN.none,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(UN.none,newX = CM.2))