FLXcontrol-class {flexmix} | R Documentation

## Class "FLXcontrol"

### Description

Hyperparameters for the EM algorithm.

### Objects from the Class

Objects can be created by calls of the form `new("FLXcontrol", ...)`. In addition, named lists can be coerced to `FLXcontrol` objects, names are completed if unique (see examples).

### Slots

`iter.max`:
  Maximum number of iterations.
`minprior`:
  Minimum prior probability of clusters, components falling below this threshold are removed during the iteration.
`tolerance`:
  The EM algorithm is stopped when the (relative) change of log-likelihood is smaller than `tolerance`.
`verbose`:
  If a positive integer, then the log-likelihood is reported every `verbose` iterations. If 0, no output is generated during model fitting.
`classify`:
  Character string, one of `"auto"`, `"weighted"`, `"hard"` (or `"CEM"`), `"random"` or (`"SEM"`).
`nrep`:
  Reports the number of random initializations used in `stepFlexmix()` to determine the mixture.

Run `new("FLXcontrol")` to see the default settings of all slots.

### Author(s)

Friedrich Leisch and Bettina Gruen

### Examples

    ## have a look at the defaults
    new("FLXcontrol")

    ## corce a list
    mycont = list(iter=200, tol=0.001, class="r")
    as(mycont, "FLXcontrol")

[Package flexmix version 2.2-4 Index]