Ambrosia 0.4.0

• Documentation and usage examples have been substantially reworked and updated.

• The Designer class and design methods functionality is updated.

  • Empirical design now supports the choice of hypothesis alternative and group ratio parameter

  • Look of resulting tables with calculated parameters is unified for all design methods

  • Changed multiprocessing strategy for bootstrap criterion

• The Tester class functionality is updated.

  • Spark data support for the Tester class is added. Independent t-test is available now

  • Bootstrap criterion can now return deterministic output using a random_seed parameter

  • Paired bootstrap criterion is now available

  • MHC now is optional and takes into account the number of passed metrics

  • first_errors parameter renamed to first_type_errors

• pyspark package now is optional and could be installed using pip extras.

• Fixed a set of bugs.