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 (may not be active yet) |
| 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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