softmax: Softmax Value
In EMSNM: EM Algorithm for Sigmoid Normal Model

Description Usage Arguments Value Author(s) Examples

View source: R/softmax.R

Calculate the Softmax Value of each subgroup to represent the probability of items belonging to specific class.

1	softmax(eta, X)

`eta`	the coeffients determining subgroup
`X`	the covariables determining subgroup

Softmax Value of each subgroup

Linsui Deng

#some variables
samplesize <- 1000
classsize <- 6
etasize <- 3
alphasize <- 2

#test of softmax
Xtest <- data.frame(matrix(rnorm(samplesize*etasize),samplesize,etasize))
etatest <- matrix(seq(1.15,1,length=etasize*classsize),etasize,classsize)
softmax_value <- softmax(etatest,Xtest)