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.">

FDOTT: Optimal Transport Based Testing in Factorial Design (original) (raw)

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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