Modules
Statistical tests and descriptive helpers with Python-compatible reference fixtures.
Basic descriptive statistics for lists and one-dimensional Nx tensors.
Normal distribution helpers.
Student's t distribution helpers.
One-sample, paired, and independent t-tests.
Public Mann-Whitney U API.
Asymptotic Mann-Whitney U test.
Ranking helpers for nonparametric tests.
Public t-test API.
Result struct returned by inferential statistical tests.
Statistical visualization builders.
Normalized row-oriented visualization data.
Composable visualization object.
Semantic channel normalization for visualization builders.
Backend-neutral statistical plot description.
Converts visualization plots into Vega-Lite-compatible maps and optional renderer structs.