ruststat - Tools for working with many common probability distributions

Features

• Probability mass function (pmf), probability density function (pdf)
• Cumulative distribution function (cdf)
• Percentiles (inverse cdf)
• Random number generation
• Mean, variance

Distributions

• Beta
• Chi-square
• Exponential
• F
• Gamma
• Normal
• Log-normal
• Pareto (1 thru 4)
• Student's t
• Continuous uniform
• Binomial
• Geometric (2 parameterizations)
• Hypergeometric
• Negative binomial (2 parameterizations)
• Poisson

Installation

Add this to your Cargo.toml:

[dependencies]
ruststat = "0.1.5"  # Replace with the latest version

Quick Start

use ruststat::*;
// X~N(mu=0,sigma=1.0), find 97.5th percentile
println!("normal percentile: {}", normal_per(0.975, 0.0, 1.0));
// X~Bin(n=10,p=0.7), compute P(X=4)
println!("binomial probability: {}", bin_pmf(4, 10, 0.7));

For convenience, functions can also be accessed via Structs.

use ruststat::*;
// X~Beta(alpha=0.5,beta=2.0)
let mut mybeta = BetaDist{alpha:0.5, beta:2.0};
// 30th percentile
println!("percentile: {}", mybeta.per(0.3));
// P(X <= 0.4)
println!("cdf: {}", mybeta.cdf(0.4));
// Random draw
println!("random draw: {}", mybeta.ran());
// Variance
println!("variance: {}", mybeta.var());