mnemh {mnem} | R Documentation

## Hierarchical mixture.

### Description

This function does a hierarchical mixture. That means it uses the approximate BIC to check, if there are more than one component. It recursively splits the data if there is evidence for k > 1 components.

### Usage

    mnemh(data, k = 2, logtype = 2, getprobspars = list(), ...)

### Arguments

`data` | data matrix either binary or log odds
`k` | number of maximal components for each hierarchy leaf
`logtype` | log type of the data
`getprobspars` | list of parameters for the getProbs function
`...` | additional parameters for the mnem function

### Value

object of class mnem

### Author(s)

Martin Pirkl

### Examples

    sim <- simData(Sgenes = 3, Egenes = 2, Nems = 2, mw = c(0.4,0.6))
    data <- (sim$data - 0.5)/0.5
    data <- data + rnorm(length(data), 0, 1)
    result <- mnemh(data, starts = 1, k = 1)

[Package mnem version 1.8.0 Index]