Package: Ecume 0.9.2
Ecume: Equality of 2 (or k) Continuous Univariate and Multivariate Distributions
We implement (or re-implements in R) a variety of statistical tools. They are focused on non-parametric two-sample (or k-sample) distribution comparisons in the univariate or multivariate case. See the vignette for more info.
Authors:
Ecume_0.9.2.tar.gz
Ecume_0.9.2.zip(r-4.5)Ecume_0.9.2.zip(r-4.4)Ecume_0.9.2.zip(r-4.3)
Ecume_0.9.2.tgz(r-4.4-any)Ecume_0.9.2.tgz(r-4.3-any)
Ecume_0.9.2.tar.gz(r-4.5-noble)Ecume_0.9.2.tar.gz(r-4.4-noble)
Ecume_0.9.2.tgz(r-4.4-emscripten)Ecume_0.9.2.tgz(r-4.3-emscripten)
Ecume.pdf |Ecume.html✨
Ecume/json (API)
NEWS
# Install 'Ecume' in R: |
install.packages('Ecume', repos = c('https://hectorrdb.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hectorrdb/ecume/issues
Last updated 6 months agofrom:465831aed9. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 25 2024 |
R-4.5-win | OK | Oct 25 2024 |
R-4.5-linux | OK | Oct 25 2024 |
R-4.4-win | OK | Oct 25 2024 |
R-4.4-mac | OK | Oct 25 2024 |
R-4.3-win | OK | Oct 25 2024 |
R-4.3-mac | OK | Oct 25 2024 |
Exports:%>%classifier_testks_testmmd_teststouffer_zscorewasserstein_permut
Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorskernlabKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypbapplypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcppRcppEigenrecipesreshape2rlangrpartscalesshapespatstat.univarspatstat.utilsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetransporttzdbutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Classifier k-sample test | classifier_test |
Weighted KS Test | ks_test |
Perform the Maximum Mean Discrepancy unbiased bootstrap test | mmd_test |
Stouffer | stouffer_zscore |
Permutation test based on Wasserstein distance | wasserstein_permut |