[Scilab-users] Can Scilab compute the inverse of the regularized Incomplete Beta Function?

[Heinz Nabielek]

Dear SciLabers:

can Scilab compute the inverse of the regularized Incomplete Beta Function?

Example: in unbiased sampling in Austria with sample size N=1432, they detected n=1 infections.
Therefore, expected infected fraction = 0.000698324.

But this does not say much, because the sample size was small and the "success" was extremely small (fortunately).

The standard procedure therefore is to derive the one-sided 95% upper confidence limit:
CONF=0.95; N=1432; n=1:
One-sided 95% upper confidence limit fraction = BETA.INV(CONF, n+1, N+1-n) = 0.003306121

How would I do that in Scilab?
Heinz