pamr.predict {pamr} | R Documentation |

## A function giving prediction information,
from a nearest shrunken centroid fit.

### Description

A function giving prediction information,
from a nearest shrunken centroid fit

### Usage

pamr.predict(fit, newx, threshold, type= c("class", "posterior", "centroid", "nonzero"), 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 value |

`type` |
Type of prediction desired: class predictions, posterior
probabilities, (unshrunken) class centroids, vector of genes
surviving the threshold |

`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". |

### Details

`pamr.predict`

Give a cross-tabulation of true versus
predicted classes for the fit returned by pamr.train or pamr.cv,
at the specified threshold

### 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)
mycv <- pamr.cv(mytrain,mydata)
pamr.predict(mytrain, mydata$x , threshold=1)

[Package

*pamr* version 1.28.0

Index]