Aim of the package | Two sample tests for univariate distribution | General Setting | Kolmogorov-Smirnov test | Adding observation weights and threshold | Multivariate Distributions | The two-sample kernel test from [@Gretton2012] | Classifier Test | Considering more than 2 distributions | References
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-4.7-any)Ecume_0.9.2.zip(r-4.6-any)Ecume_0.9.2.zip(r-4.5-any)
Ecume_0.9.2.tgz(r-4.6-any)Ecume_0.9.2.tgz(r-4.5-any)
Ecume_0.9.2.tar.gz(r-4.7-any)Ecume_0.9.2.tar.gz(r-4.6-any)
Ecume_0.9.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
Ecume/json (API)
| # 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 from:f33bed54d3. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 194 | ||
| source / vignettes | OK | 260 | ||
| linux-release | OK | 160 | ||
| macos-release | OK | 231 | ||
| macos-oldrel | OK | 236 | ||
| windows-devel | OK | 162 | ||
| windows-release | OK | 172 | ||
| windows-oldrel | OK | 158 | ||
| wasm-release | OK | 124 |
Exports:%>%classifier_testks_testmmd_teststouffer_zscorewasserstein_permut
Dependencies:caretclasscliclockcodetoolscpp11data.tablediagramdigestdplyre1071farverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorskernlabKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixModelMetricsnlmennetnumDerivparallellypbapplypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcppRcppEigenrecipesreshape2rlangrpartS7scalesshapesparsevctrsspatstat.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 |