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`

.

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

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.

An integer.

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

with `ir=1`

.

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

# NOT RUN { itnumber(500,4,150,2) # }