riemstats: Riemannian ANOVA Statistics
Provides statistical methods for analyzing samples of symmetric
positive definite (SPD) matrices, particularly functional connectivity
matrices from neuroimaging data. Implements Fréchet ANOVA
(Dubey and Müller (2019) <doi:10.1093/biomet/asz052>) for testing
differences between groups in metric spaces, and Riemannian ANOVA methods
that leverage tangent space geometry with classic multivariate test
statistics including Wilks' Lambda and Pillai's trace. Also includes
harmonization techniques for removing batch effects in multi-site studies:
ComBat-based harmonization (Honnorat et al. (2024)
<doi:10.1016/j.media.2023.103043>) and rigid harmonization
(Simeon et al. (2022) <doi:10.3389/fninf.2022.769274>). Builds on
'riemtan' package infrastructure for efficient computation with multiple
Riemannian metrics.
| Version: |
0.2.0 |
| Depends: |
R (≥ 4.3.0) |
| Imports: |
Matrix, CovTools, sva, purrr, riemtan, methods |
| Suggests: |
testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: |
2025-11-17 |
| DOI: |
10.32614/CRAN.package.riemstats (may not be active yet) |
| Author: |
Nicolas Escobar 
[aut, cre],
Jaroslaw Harezlak [ths] |
| Maintainer: |
Nicolas Escobar <nescoba at iu.edu> |
| BugReports: |
https://github.com/nicoesve/riemstats/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://nicoesve.github.io/riemstats/ |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
riemstats results |
Documentation:
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