# Number of regression fixed point cluster iterations

### Description

Computes the number of fixed point iterations needed by
`fixreg`

to find `mtf`

times
a fixed point cluster (FPC) of size
`cn`

with an approximated probability of `prob`

.

Thought for use within `fixreg`

.

### Usage

1 | ```
itnumber(n, p, cn, mtf, prob = 0.95, maxir = 20000)
``` |

### Arguments

`n` |
positive integer. Total number of points. |

`p` |
positive integer. Number of independent variables. |

`cn` |
positive integer smaller or equal to |

`mtf` |
positive integer. |

`prob` |
number between 0 and 1. |

`maxir` |
positive integer. |

### 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`

### Examples

1 | ```
itnumber(500,4,150,2)
``` |