# minsize: 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.

prob

numerical between 0 and 1.

## Details

The computation is based on the binomial distribution with probability
given by `clusexpect`

with `ir=1`

.

## References

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

## Examples

# NOT RUN {
minsize(500,4,7000,2)
# }