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-4.7)ddst_1.6.10.zip(r-4.6)ddst_1.6.10.zip(r-4.5)
ddst_1.6.10.tgz(r-4.6-any)ddst_1.6.10.tgz(r-4.5-any)
ddst_1.6.10.tar.gz(r-4.7-any)ddst_1.6.10.tar.gz(r-4.6-any)
ddst_1.6.10.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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
Pkgdown/docs site:https://pbiecek.github.io
data-drivensmooth-teststatisticstest
Last updated from:39506cfc0f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 127 | ||
| source / vignettes | OK | 292 | ||
| linux-release-x86_64 | OK | 120 | ||
| macos-release-arm64 | OK | 89 | ||
| macos-oldrel-arm64 | OK | 90 | ||
| windows-devel | OK | 101 | ||
| windows-release | OK | 76 | ||
| windows-oldrel | OK | 107 | ||
| wasm-release | OK | 98 |
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:clicpp11evdfarverggplot2gluegtableisobandlabelinglifecycleorthopolynompolynomR6RColorBrewerrlangS7scalesvctrsviridisLitewithr
