Package: ddst 1.6.10
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.
Authors:
ddst_1.6.10.tar.gz
ddst_1.6.10.zip(r-4.5)ddst_1.6.10.zip(r-4.4)ddst_1.6.10.zip(r-4.3)
ddst_1.6.10.tgz(r-4.4-any)ddst_1.6.10.tgz(r-4.3-any)
ddst_1.6.10.tar.gz(r-4.5-noble)ddst_1.6.10.tar.gz(r-4.4-noble)
ddst_1.6.10.tgz(r-4.4-emscripten)ddst_1.6.10.tgz(r-4.3-emscripten)
ddst.pdf |ddst.html✨
ddst/json (API)
NEWS
| # Install 'ddst' in R: |
| install.packages('ddst', repos = c('https://pbiecek.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pbiecek/ddst/issues
data-drivensmooth-teststatisticstest
Last updated 1 years agofrom:39506cfc0f. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 14 2024 |
| R-4.5-win | OK | Nov 14 2024 |
| R-4.5-linux | OK | Nov 14 2024 |
| R-4.4-win | OK | Nov 14 2024 |
| R-4.4-mac | OK | Nov 14 2024 |
| R-4.3-win | OK | Nov 14 2024 |
| R-4.3-mac | OK | Nov 14 2024 |
Exports:ddst.againststochdom.testddst.evd.testddst.exp.testddst.forstochdom.testddst.ksample.testddst.normbounded.testddst.normubounded.testddst.normunbounded.biasddst.twosample.testddst.umbrellaknownp.testddst.umbrellaunknownp.testddst.uniform.testddst.upwardtrend.test
Dependencies:clicolorspaceevdfansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeorthopolynompillarpkgconfigpolynomR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
