pamr.predictmany {pamr}R Documentation

A function giving prediction information for many threshold values, from a nearest shrunken centroid fit.

Description

A function giving prediction information for many threshold values, from a nearest shrunken centroid fit

Usage

pamr.predictmany(fit, newx, threshold=fit$threshold, prior =fit$prior, threshold.scale = fit$
        threshold.scale, ...)

Arguments

fit The result of a call to pamr.train
newx Matrix of features at which predictions are to be made
threshold The desired threshold values
prior Prior probabilities for each class. Default is that specified in "fit"
threshold.scale Additional scaling factors to be applied to the thresholds. Vector of length equal to the number of classes. Default is that specified in "fit".
... Additional arguments to be passed to pamr.predict

Details

Author(s)

Trevor Hastie, Robert Tibshirani, Balasubramanian Narasimhan, and Gilbert Chu

References

Examples

set.seed(120)
x <- matrix(rnorm(1000*20),ncol=20)
y <- sample(c(1:4),size=20,replace=TRUE)
mydata <- list(x=x,y=y)
mytrain <-   pamr.train(mydata)

pamr.predictmany(mytrain, mydata$x)
 

[Package pamr version 1.28.0 Index]