Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Statistical plotting recipes for Plots.jl

Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.

Implementations of the models from the Statistical Rethinking book with Turing.jl

Beautiful and flexible vizualizations of high dimensional data

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

A package for time series data processing, classification, clustering, and prediction.

Exploratory analysis of Bayesian models with Julia

A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.

OrbitalTrajectories.jl is a modern orbital trajectory design, optimisation, and analysis library for Julia, providing methods and tools for designing spacecraft orbits and transfers via high-performance simulations of astrodynamical models.

Simulated Method of Moments for Julia

Imputation methods for missing data in julia

Distributed table structures and data manipulation operations built on top of Dagger.jl

Bayesian Generalized Linear models using `@formula` syntax.

Econometrics in Julia

Comparing performance and results of mcmc options using Julia

Diagonalization procedures for Julia (PCA, Whitening, MCA, gMCA, CCA, gCCA, CSP, CSTP, AJD, mAJD)

A Julia toolbox with resampling methods to correct for class imbalance.

Convenience functions missing in Julia

OpenMendel package for haplotyping and imputation

A Julia package for working with ICESat-2 & GEDI data as part of my PhD research

Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net

Data and functions to support Julia projects based on the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill and Aki Vehtari.

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Graphical tools for Bayesian inference and posterior predictive checks

Attempting to implement some {tidyverse} APIs in Julia

WIP: Wrapper package for the sample method in Stan's cmdstan executable.

Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data

A pure Julia implementation of the Targeted Minimum Loss-based Estimation

A flexible toolkit for simulation based inference in Julia

The Biochemical Algorithms Library in Julia

Discrete choice/random utility models in Julia

Neural Signal Analysis

An interactive explorer for flow cytometry data

Package for the Rigorous Computation of Invariant Measures

Stan versions of StatisticalRethinking models.

TensorNetworkCodes is a Julia library developed to support the following research: https://arxiv.org/abs/2109.11996

(Hierarchical) Phylogenetic Models in Julia

Split and recombine your data