pamr (version 1.57)

pamr.indeterminate: A function that takes estimate class probabilities and produces a class prediction or indeterminate prediction

Description

A function that takes estimate class probabilities and produces a class prediction or indeterminate prediction

Usage

pamr.indeterminate(prob, mingap = 0)

Arguments

prob

Estimated class probabilities, from pamr.predict with type="posterior")

mingap

Minimum difference between highest and second highest probability. If difference is < mingap, prediction is set to indeterminate (NA)

Author

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)
prob<- pamr.predict(mytrain, mydata$x , threshold=1, type="posterior")
pamr.indeterminate(prob,mingap=.75)