Remove checkedProbability method from the inverse

This method is only of use for bug reporting extremely an unlikely
event. It will negatively impact performance for all distributions
during computation of the inverse.

The extreme bounds of discrete distributions are tested in unit tests.
Any distributions where NaN values are potentially expected (e.g. zero
divide by zero; infinity - infinity) should use units tests to check
extreme parameterisations.
1 file changed
tree: 6a35666be8d2e8cbfb49d8c5358f4a0202227b41
  1. commons-statistics-distribution/
  2. commons-statistics-examples/
  3. commons-statistics-regression/
  4. dist-archive/
  5. src/
  6. .asf.yaml
  7. .gitattributes
  8. .gitignore
  9. .travis.yml
  10. CONTRIBUTING.md
  11. LICENSE
  12. NOTICE
  13. pom.xml
  14. README.md
  15. RELEASE-NOTES.txt
README.md

Apache Commons Statistics

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The Apache Commons Statistics project provides tools for statistics.

Documentation

More information can be found on the Apache Commons Statistics homepage. The Javadoc can be browsed. Questions related to the usage of Apache Commons Statistics should be posted to the user mailing list.

Where can I get the latest release?

You can download source and binaries from our download page.

Alternatively you can pull it from the central Maven repositories:

<dependency>
  <groupId>org.apache.commons</groupId>
  <artifactId>commons-statistics</artifactId>
  <version>1.0</version>
</dependency>

Contributing

We accept Pull Requests via GitHub. The developer mailing list is the main channel of communication for contributors. There are some guidelines which will make applying PRs easier for us:

  • No tabs! Please use spaces for indentation.
  • Respect the code style.
  • Create minimal diffs - disable on save actions like reformat source code or organize imports. If you feel the source code should be reformatted create a separate PR for this change.
  • Provide JUnit tests for your changes and make sure your changes don't break any existing tests by running mvn clean test.

If you plan to contribute on a regular basis, please consider filing a contributor license agreement. You can learn more about contributing via GitHub in our contribution guidelines.

License

This code is under the Apache Licence v2.

See the NOTICE file for required notices and attributions.

Donations

You like Apache Commons Statistics? Then donate back to the ASF to support the development.

Additional Resources