Call R from Julia

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

EDS spectrum analysis tools within the NeXL toolset

Julia package for fitting regularized linear mixed-effect models on high-dimensional omics data.

Plotting tools for Unfold.jl based on Makie.jl and AlgebraOfGraphics.jl

Phylogenetic Estimation of Shifts in the Tempo of Origination

Combine ingredients for a plot

ADRIA: Adaptive Dynamic Reef Intervention Algorithms. A multi-criteria decision support platform for informing reef restoration and adaptation interventions.

Genome-wide association studies (GWAS) for ordered categorical phenotypes

Propagate waves efficiently, optically, physically, differentiably with Julia Lang.

Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia

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

Surrogate modeling and optimization for scientific machine learning (SciML)

Simulation tools for Mixed Models

Direct and robust methods for outlier detection in linear regression

Package for performing DQMC simulations of Hubbard and Electron-Phonon Models

An extensible framework for geospatial data science and geostatistical modeling fully written in Julia

Tidier data visualization in Julia, modeled after the ggplot2 R package.

Validation methods for the GeoStats.jl framework

Julia package for Light Based Tomographic Volumetric Additive Manufacturing.

Journal-style regression tables

Argo data processing and analysis

Analysis of Gaussian models on phylogenetic networks using belief propagation (aka message passing)

Simulated Method of Moments for Julia

Bayesian Generalized Linear models using `@formula` syntax.

A pure-Julia take on standard net survival routines

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Tidier data transformations in Julia, modeled after the dplyr/tidyr R packages.

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

Box-Cox transformation in Julia

Effects Prediction for Regression Models

Plotting functionality for MixedModels.jl implemented in Makie

Standardized regression predictors for use with StatsModels.jl (centered, z-scored, etc.)

Extra non essential functionality for MixedModels.jl

SEM/EDS particle analysis tools

Calculate regressions and abnormal returns for large return datasets quickly

Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.

Meta-package for data analysis in Julia, modeled after the R tidyverse.

Generalized linear models in Julia