pamr.predictmany {pamr}

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

Author(s)

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

Examples

suppressWarnings(RNGversion("3.5.0"))
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)