inferust 0.1.2

Statistical modeling for Rust — OLS regression, hypothesis tests, descriptive stats, and more. A statsmodels-style library.
Documentation 
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//! # inferust
//!
//! **Statistical modeling for Rust** — a `statsmodels`-inspired library.
//!
//! ## Modules
//!
//! | Module | Contents |
//! |--------|---------|
//! | [`regression`] | OLS with full summary (coefs, std errors, t/p-values, R², AIC, BIC) |
//! | [`hypothesis`] | t-tests, chi-squared, one-way ANOVA |
//! | [`descriptive`] | Summary stats (mean, std, skewness, kurtosis, quartiles) |
//! | [`correlation`] | Pearson, Spearman, correlation matrices |
//!
//! ## Quick start
//!
//! ```rust
//! use inferust::regression::Ols;
//!
//! let x = vec![vec![1.0], vec![2.0], vec![3.0], vec![4.0], vec![5.0]];
//! let y = vec![2.1, 3.9, 6.2, 7.8, 10.1];
//!
//! Ols::new()
//!     .with_feature_names(vec!["hours".to_string()])
//!     .fit(&x, &y)
//!     .unwrap()
//!     .print_summary();
//! ```

pub mod correlation;
pub mod descriptive;
pub mod error;
pub mod hypothesis;
pub mod regression;

pub use error::{InferustError, Result};