FDOTT: Optimal Transport Based Testing in Factorial Design
Perform optimal transport based tests in factorial designs as introduced in Groppe et al. (2025) <doi:10.48550/arXiv.2509.13970> via the FDOTT() function. These tests are inspired by ANOVA and its nonparametric counterparts. They allow for testing linear relationships in factorial designs between finitely supported probability measures on a metric space. Such relationships include equality of all measures (no treatment effect), interaction effects between a number of factors, as well as main and simple factor effects.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1) |
| Imports: | Rcpp (≥ 1.0.12),ROI,future.apply,progressr,transport,slam,rrapply, stats, methods |
| LinkingTo: | Rcpp,RcppArmadillo |
| Suggests: | ROI.plugin.glpk,future |
| Published: | 2025-10-01 |
| DOI: | 10.32614/CRAN.package.FDOTT |
| Author: | Michel Groppe [aut, cre], Linus Niemöller [aut] |
| Maintainer: | Michel Groppe <michel.groppe at uni-goettingen.de> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| Citation: | FDOTT citation info |
| CRAN checks: | FDOTT results |
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