R: Number of regression fixed point cluster iterations

itnumber {fpc} | R Documentation

## 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

    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 `n`. Size of the FPC.
`mtf` | positive integer.
`prob` | number between 0 and 1.
`maxir` | positive integer. `itnumber` is set to this value if it would otherwise be larger.

### 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

      itnumber(500,4,150,2)

[Package fpc version 2.1-10 Index]