Package: DistributionTest 1.1
DistributionTest: Powerful Goodness-of-Fit Tests Based on the Likelihood Ratio
Provides new types of omnibus tests which are generally much more powerful than traditional tests (including the Kolmogorov-Smirnov, Cramer-von Mises and Anderson-Darling tests),see Zhang (2002) <doi:10.1111/1467-9868.00337>.
Authors:
DistributionTest_1.1.tar.gz
DistributionTest_1.1.zip(r-4.5)DistributionTest_1.1.zip(r-4.4)DistributionTest_1.1.zip(r-4.3)
DistributionTest_1.1.tgz(r-4.4-any)DistributionTest_1.1.tgz(r-4.3-any)
DistributionTest_1.1.tar.gz(r-4.5-noble)DistributionTest_1.1.tar.gz(r-4.4-noble)
DistributionTest_1.1.tgz(r-4.4-emscripten)DistributionTest_1.1.tgz(r-4.3-emscripten)
DistributionTest.pdf |DistributionTest.html✨
DistributionTest/json (API)
| # Install 'DistributionTest' in R: |
| install.packages('DistributionTest', repos = c('https://cuining1.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:2b0d6137af. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-win | OK | Nov 23 2024 |
| R-4.5-linux | OK | Nov 23 2024 |
| R-4.4-win | OK | Nov 23 2024 |
| R-4.4-mac | OK | Nov 23 2024 |
| R-4.3-win | OK | Nov 23 2024 |
| R-4.3-mac | OK | Nov 23 2024 |
Dependencies:MASS
