This crate provides a way to apply Principal Coordinate Analysis on a distance (dissimilarity) matrix.
Principal Coordinates Analysis (PCoA) of a symmetric distance matrix — scikit-bio skbio.stats.ordination.pcoa equivalent (Gower double-centering + symmetric eigendecomposition)
Fast PCoA based on randomized SVD
Ultra-fast approximate UniFrac via Weighted MinHash
PERMDISP (Anderson 2006) — test of homogeneity of multivariate group dispersions from a distance matrix (the betadisper analog), with a permutation p-value; scikit-bio skbio.stats.distance.permdisp equivalent
Autograder for Moodle submitted Java Programming Assignments
Gradient/trajectory ANOVA over ordination coordinates (QIIME-style microbiome trajectory analysis): per-group trajectory vectors plus closed-form one-way ANOVA F/p, selectable algorithm — a Rust reimplementation of scikit-bio's skbio.stats.gradient.
PERMANOVA (Anderson 2001) — pseudo-F test for group differences from a distance matrix, with a permutation p-value; scikit-bio skbio.stats.distance.permanova equivalent
Patristic tip-to-tip distance matrix from a phylogenetic tree (sum of branch lengths between every pair of tips) — scikit-bio TreeNode.cophenet equivalent, byte-exact TSV
A modern web framework for Rust