A Julia package for probability distributions and associated functions.

Statically sized arrays for Julia

Julia implementation of Data structures

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Basic statistics for Julia

Special mathematical functions in Julia

Julia package for Gaussian quadrature

Adaptive 1d numerical Gauss–Kronrod integration in Julia

AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.

Mathematical functions related to statistics.

Reduce time-to-first-execution of Julia code

Lazy code loading for Julia

Julia package for lazily representing matrices filled with a single entry

Julia macro for re-exporting one module from another

Compatibility across Julia versions

Project Preferences Package

Extensions for Julia's docsystem.

Uniform Interface for positive definite matrices of various structures

Julia implementation of associative containers that preserve insertion order

SparseArrays.jl is a Julia stdlib

`@pack!` and `@unpack` macros

A simple shared suite of common derivative definitions

Julia package for various special functions based on `log` and `exp`.

Missing value support for Julia

A Julia package for calculating hypergeometric functions

Julia math built-ins which return NaN and accumulator functions which ignore NaN

Extra sorting algorithms extending Julia's sorting API

Fast complex polynomial root finder, with support for arbitrary precision calculations

A data-focused namespace for packages to share functions

Interface for function inversion in Julia

A common solve function for scientific machine learning (SciML) and beyond

A statistics-focused namespace for packages to share functions

Back to the stone age!

Archive of functions that emulate R's d-p-q-r functions for probability distributions

Defines additional irrationals

Interface package for StaticArrays.jl

Interface for mathematical/statistical densities in Julia

Interface for transformation functions in Julia

An efficient sampler for discrete random variables

Compute the nearest correlation matrix using a pure Julia implementation