Packages to determine confidence intervals

As LsqFit.jl only calculates the standard error by using the Jacobian at the best-fit position I thought I try to write a small package for determining the confidence interval by data exploration.

As I am no expert I just implemented a method using an F-test and a simple linescan to test each parameter. (correlation is not taken into account yet, but creating a map in parameter space should not be that hard)

As this package is at a very early stage I wanted to check if something like this is already out there.

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I could find F-tests being applied for confidence interval estimation in an youtube video and by the python package lmfit, but I could not find a good paper for the procedure.

I am wondering if the F-test is even a valid approach. Maybe someone with a deeper knowledge in statistics can help me here.

Matlab for example provides confidence interval estimation based on the Wald test, log likelihood and bootstrapping. Maybe a Wald test would be a good option to implement as bootstrapping is already covered by Bootstrap.jl.