characteristic functions for chi-squared distributions
Chi-squared distribution cumulative distribution function (CDF).
Chi-squared distribution.
Chi-squared distribution kurtosis.
Chi-squared distribution quantile function.
Chi-squared distribution variance.
Chi-squared distribution median.
Chi-squared distribution constructor.
Chi-squared distribution skewness.
Chi-squared distribution entropy.
Chi-squared distribution expected value.
Chi-squared distribution mode.
Chi-squared distribution standard deviation.
Chi-squared distribution probability density function (PDF).
Chi-squared distribution moment-generating function (MGF).
Inverse chi-squared cumulative distribution function
A simple function for calculating the chi-squared probability for a given observation set and expected set"
Natural logarithm of the probability density function (PDF) for a chi-squared distribution.
Chi-Squared hypothesis tests to test distribution fitness for dataset and independence among datasets
Pearson's chi-squared test for contingency tables
characteristic functions for chi-squared-standard distributions
Npm module for calculating chi-square test that gives us p-value for statistical significance with practical use in A/B testing.
Kryptos K1-style Vigenere solver using beam search, chi-squared, IoC, and bigram scoring. Adopted from https://github.com/chillhackr/kryptos
Takes a bounding box and calculates the minimum square bounding box that would contain the input.
Pure Rust implementation of Minuit-style parameter optimization
A/B testing with chi-squared and Welch's t-test — Rust port of ab-testing
A comprehensive statistical hypothesis testing library validated against R
Statistics library in rust
A hypothesis testing library crate for Z, T, and Pearson's Chi-squared tests.
Hypothesis Testing with Rust
Correspondence Analysis (CA) of a non-negative feature/count table — scikit-bio skbio.stats.ordination.ca equivalent (chi-square transform + SVD)
PLINK1 case/control association test (chi-squared + trend + linear regression)
Limiting dilution analysis with maximum likelihood estimation, built on comp-cat-rs
Math library for mlua — RNG, distributions, hypothesis testing, ranking, information theory, and statistics
Statistical modeling for Rust — OLS/WLS regression, GLM, survival analysis, ARIMA/VAR, nonparametric tests, and more. A statsmodels-style library.
Pure-Rust numerical algorithms library — high performance with SIMD support while also supporting no-std for embedded and WASM targets.
Simple Random Number Generator including Beta, Cauchy, Chi square, Exponential, Gamma, Inverse Gamma, Laplace (double exponential), Normal, Student t, Uniform, and Weibull. Ported from John D. Cook's C# Code.
Statistics2 is a module that provides normal, Chi-square, t- and F- probability distributions for Ruby. It is a fork/continuation of Shin-ichiro Hara's original code. It provides a native, compiled extension and a pure Ruby implementation.
random variables for a wide variety of probability distributions such as: Binomial, Beta, Chi-Squared, Normal, Pareto, Poisson, etc.
Statistics3 is a module that provides normal, Chi-square, t- and F- probability distributions for Ruby. It is a fork/continuation of Shin-ichiro Hara's original code. It provides a native, compiled extension and a pure Ruby implementation.
**CheapRandom** is a set of tools for pseudo random number generation from arbitrary data. The properties of the **CheapRandom seed** make convenient random number generation possible -- useful for easily repeatable software testing. The **CheapRandom algorithm** is information conserving and generally appears to produce lower chi-squared statistics than **Kernel::rand** i.e. it appears to be more random. The **CheapRandom algorithm**, an original work by Bardi Einarsson, has been in use for 6 years.
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