Crate ndarray_stats

The ndarray-stats crate exposes statistical routines for ArrayBase, the n-dimensional array data structure provided by ndarray.

Currently available routines include:

• order statistics (minimum, maximum, median, quantiles, etc.);
• summary statistics (mean, skewness, kurtosis, central moments, etc.)
• partitioning;
• correlation analysis (covariance, pearson correlation);
• measures from information theory (entropy, KL divergence, etc.);
• measures of deviation (count equal, L1, L2 distances, mean squared err etc.)
• histogram computation.

Please feel free to contribute new functionality! A roadmap can be found here.

Our work is inspired by other existing statistical packages such as NumPy (Python) and StatsBase.jl (Julia) - any contribution bringing us closer to feature parity is more than welcome!

Re-exports

pub use crate::histogram::HistogramExt;

Modules

errors

Custom errors returned from our methods and functions.

histogram

Histogram functionalities.

interpolate

Interpolation strategies.

Traits

CorrelationExt

Extension trait for ArrayBase providing functions to compute different correlation measures.

DeviationExt

An extension trait for ArrayBase providing functions to compute different deviation measures.

EntropyExt

Extension trait for ArrayBase providing methods to compute information theory quantities (e.g. entropy, Kullback–Leibler divergence, etc.).

MaybeNan

A number type that can have not-a-number values.

MaybeNanExt

Extension trait for ArrayBase providing NaN-related functionality.

Quantile1dExt

Quantile methods for 1-D arrays.

QuantileExt

Quantile methods for ArrayBase.

Sort1dExt

Methods for sorting and partitioning 1-D arrays.

SummaryStatisticsExt

Extension trait for ArrayBase providing methods to compute several summary statistics (e.g. mean, variance, etc.).