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!

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.).
HistogramExt	Extension trait for ArrayBase providing methods to compute histograms.
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.).