riemstats

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.

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