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ddst: Data Driven Smooth Tests
Smooth tests are data driven (alternative hypothesis is dynamically selected based on data). In this package you will find two groups of smooth of test: goodness-of-fit tests and nonparametric tests for comparing distributions. Among goodness-of-fit tests there are tests for exponent, Gaussian, Gumbel and uniform distribution. Among nonparametric tests there are tests for stochastic dominance, k-sample test, test with umbrella alternatives and test for change-point problems.
Getting started
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Package details |
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| Author | Przemyslaw Biecek [aut, cre] (ORCID: <https://orcid.org/0000-0001-8423-1823>), Teresa Ledwina [aut], Grzegorz Wylupek [aut] |
| Maintainer | Przemyslaw Biecek <przemyslaw.biecek@gmail.com> |
| License | GPL-2 |
| Version | 1.6.11 |
| URL | https://pbiecek.github.io/ddst/ |
| Package repository | View on CRAN |
| Installation |
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