R: Minimum size of regression fixed point cluster

minsize {fpc} | R Documentation

## Minimum size of regression fixed point cluster

### Description

Computes the minimum size of a fixed point cluster (FPC) which is found at least `mtf` times with approximated probability `prob` by `ir` fixed point iterations of `fixreg`.

Thought for use within `fixreg`.

### Usage

    minsize(n, p, ir, mtf, prob = 0.5)

### Arguments

`n` | positive integer. Total number of points.
`p` | positive integer. Number of independent variables.
`ir` | positive integer. Number of fixed point iterations.
`mtf` | positive integer.
`prob` | numerical between 0 and 1.

### Details

The computation is based on the binomial distribution with probability given by `clusexpect` with `ir=1`.

### Value

An integer.

### Author(s)

Christian Hennig c.hennig@ucl.ac.uk http://www.homepages.ucl.ac.uk/~ucakche/

### References

Hennig, C. (2002) Fixed point clusters for linear regression: computation and comparison, Journal of Classification 19, 249-276.

### See Also

`fixreg`, `clusexpect`, `itnumber`

### Examples

      minsize(500,4,7000,2)

[Package fpc version 2.1-10 Index]