R: Classification given Probabilities

map {mclust} | R Documentation

## Classification given Probabilities

### Description

Converts a matrix in which each row sums to 1 to an integer vector specifying for each row the column index of the maximum.

### Usage

    map(z, warn = mclust.options("warn"), ...)

### Arguments

`z` | A matrix (for example a matrix of conditional probabilities in which each row sums to 1 as produced by the E-step of the EM algorithm).
`warn` | A logical variable indicating whether or not a warning should be issued when there are some columns of `z` for which no row attains a maximum.
`...` | Provided to allow lists with elements other than the arguments can be passed in indirect or list calls with `do.call`.

### Value

A integer vector with one entry for each row of z, in which the i-th value is the column index at which the i-th row of `z` attains a maximum.

### See Also

`unmap`, `estep`, `em`, `me`.

### Examples

    emEst <- me(modelName = "VVV", data = iris[,-5], z = unmap(iris[,5]))

    map(emEst$z)

[Package mclust version 5.4.2 Index]