I have created a revised design for the abstract test for the distributions.
The current design requires that a single parameterization of the distribution is created and this is then tested for the PDF, CDF, SurvivalFunction, and InverseCDF. There are also tests for consistency of survival and CDF, sampling, density integrals, and support bounds. If you wish to test another distribution you can create one and call various test functions but not all of them. You cannot repeat the tests for consistency of survival and CDF, sampling, density integrals, and support bounds. So you cannot fully test additional distributions. I have created a new design where all tests are performed on distributions that are created dynamically by streaming arguments for their construction and then streaming the test input and expected values. So far I have applied this to 1 distribution which is in the following PR: https://github.com/apache/commons-statistics/pull/30 Look at the full file for the Nakagami distribution and it should clarify that testing individual parameterizations of distributions does not require much code. I propose to change over the distributions to the new design and add additional test cases for many of the distributions which have a different PDF shape with different parameters. Alex --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org For additional commands, e-mail: dev-h...@commons.apache.org
