New function

`Gauss_test_powerAnalysis`

for computation of power or sufficient sample size for the one-sided Gauss test. The power (respectively sufficient sample size) are computed in an exact (non-asymptotic) way based on bounds on the Edgeworth expansion. This power holds non-asymptotically and uniformly over all alternatives with a given effect size (under some regularity conditions: bounded kurtosis, tail constraint`kappa`

).Adding a

`verbose`

option to`Bound_EE1`

to indicate the values of the intermediary terms that are summed to produce the final bound. This can be useful to understand which terms has the largest contribution to the bound.Removing pipes in

`Lower_incomplete_gamma_for_negative_x`

to be compatible with R (< 4.1.0).

- Documentation update.

- Initial release.