v0.1.2

• 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).