Crate numra_stats 

Statistics and probability distributions for Numra.

This crate provides:

• Distributions: Normal, Uniform, Exponential, Gamma, Beta, Chi-squared, Student’s t, F, Poisson, Binomial, Log-normal
• Descriptive statistics: mean, variance, std_dev, median, percentile, skewness, kurtosis, covariance, covariance_matrix
• Hypothesis testing: t-tests (one-sample, two-sample, paired), chi-squared, Kolmogorov-Smirnov, one-way ANOVA
• Regression: linear, multiple linear, polynomial
• Correlation: Pearson, Spearman

Author: Moussa Leblouba Date: 9 February 2026 Modified: 2 May 2026

Re-exports

pub use error::StatsError;

pub use distributions::ContinuousDistribution;

pub use distributions::DiscreteDistribution;

pub use distributions::BetaDist;

pub use distributions::Binomial;

pub use distributions::ChiSquared;

pub use distributions::Exponential;

pub use distributions::FDist;

pub use distributions::GammaDist;

pub use distributions::LogNormal;

pub use distributions::Normal;

pub use distributions::Poisson;

pub use distributions::StudentT;

pub use distributions::Uniform;

pub use descriptive::covariance;

pub use descriptive::covariance_matrix;

pub use descriptive::kurtosis;

pub use descriptive::mean;

pub use descriptive::median;

pub use descriptive::percentile;

pub use descriptive::skewness;

pub use descriptive::std_dev;

pub use descriptive::variance;

pub use hypothesis::anova_oneway;

pub use hypothesis::chi2_test;

pub use hypothesis::ks_test;

pub use hypothesis::ttest_1samp;

pub use hypothesis::ttest_ind;

pub use hypothesis::ttest_rel;

pub use hypothesis::TestResult;

pub use regression::linregress;

pub use regression::multiple_linregress;

pub use regression::polyfit;

pub use regression::RegressionResult;

pub use correlation::pearson_r;

pub use correlation::spearman_r;

Modules

correlation

Correlation analysis: Pearson, Spearman.

descriptive

Descriptive statistics: mean, variance, standard deviation, percentiles, etc.

distributions

Probability distribution traits and implementations.

error

Error types for statistical computations.

hypothesis

Hypothesis testing: t-tests, chi-squared, Kolmogorov-Smirnov, ANOVA.

regression

Linear regression, multiple regression, and polynomial fitting.