Generalized linear models in Julia

A Julia package for fitting (statistical) mixed-effects models

Combine ingredients for a plot

100% Julia implementation of the R tidyverse mini-language

Surrogate modeling and optimization for scientific machine learning (SciML)

Call R from Julia

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

Specifying, fitting, and evaluating statistical models in Julia

Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables

Lasso/Elastic Net linear and generalized linear models

A Julia package for statistical inference, data manipulation and visualization of phylogenetic networks

Convenience meta-package to load essential packages for statistics

Statistical bootstrapping library for Julia

Journal-style regression tables

A Julia package for estimating ARMA-GARCH models.

Timeseries in Julia

Simulated Method of Moments for Julia

Econometrics in Julia

Bayesian Generalized Linear models using `@formula` syntax.

Survival analysis in Julia

Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation for Julia.

Statistical visualizations based on high performance plotting package Makie

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

Tools for working with Fourier space.

Create ensembles of machine learning models from scikit-learn, caret, and julia

Analysis of complex surveys

Quantile regression in Julia

Direct and robust methods for outlier detection in linear regression

Publication quality regression and statistical tables

Synthetic control methods in Julia

Microeconometric estimation in Julia

A Julia package for robust regressions using M-estimators and quantile regressions

Interactive Fixed Effect Models — Bai (2009)

A survival analysis interface for Julia

Fast estimation of generalized linear models with high dimensional categorical variables in Julia

Fixed Point Acceleration for Julia

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Causal Inference with Invariant Prediction

Neuroimaging (EEG & fMRI) regression analysis in Julia

Design of Experiments in Julia