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]