An efficient sampler for discrete random variables

Interface for transformation functions in Julia

Interface for mathematical/statistical densities in Julia

Access `version`, `uuid`, etc. in `Project.toml`

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

Defines additional irrationals

Interface package for StaticArrays.jl

A statistics-focused namespace for packages to share functions

Back to the stone age!

Create and control multiple Julia processes remotely for distributed computing. Ships as a Julia stdlib.

Interface for function inversion in Julia

Base package for optimization and equation solver software in JuliaNLSolvers

A data-focused namespace for packages to share functions

A package which provides an API for querying differentiation results at multiple orders simultaneously

Naïve combined subexpression elimination in Julia

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

Extra sorting algorithms extending Julia's sorting API

A Julia package for calculating hypergeometric functions

Missing value support for Julia

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

A simple shared suite of common derivative definitions

Bessel functions for real arguments and orders

`@pack!` and `@unpack` macros

SparseArrays.jl is a Julia stdlib

Julia implementation of associative containers that preserve insertion order

Uniform Interface for positive definite matrices of various structures

Extensions for Julia's docsystem.

Project Preferences Package

Compatibility across Julia versions

Julia macro for re-exporting one module from another

Julia package for lazily representing matrices filled with a single entry

Lazy code loading for Julia

Reduce time-to-first-execution of Julia code

Main Package for IO, loading all different kind of files

Mathematical functions related to statistics.

Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

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.

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Saving and loading julia variables while preserving native types

Julia package for Gaussian quadrature