Mixed Models

Julia package for fitting statistical mixed-effects models.

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Pricing

Free tier

Flat rate

Adoption

→Stable

License

Open Source

Data freshness

Aging · Jun 8, 2026

Overview

What is Mixed Models?

MixedModels.jl is a Julia package designed to fit statistical mixed-effects models. It provides tools for researchers and data scientists to analyze complex datasets with both fixed and random effects, enhancing the accuracy of predictive modeling in various fields.

Key differentiator

“MixedModels.jl stands out as a robust, open-source solution specifically tailored for fitting mixed-effects models in Julia, offering efficient algorithms and seamless integration with the broader Julia ecosystem.”

Capability profile

Capability Radar

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Honest assessment

Strengths & Weaknesses

↑ Strengths

Fits linear mixed-effects modelsmedium

Supports generalized linear mixed modelsmedium

Efficient algorithms for large datasetsmedium

Integration with Julia's ecosystem for data analysismedium

↓ Weaknesses

Limited language support due to Julia-specific implementationhigh

MixedModels.jl is only available in Julia, which may limit its accessibility for developers proficient in other languages such as Python or R.

Small community and limited third-party integrationsmedium

The package relies on the smaller Julia ecosystem, which has fewer contributors and less extensive third-party support compared to more popular languages like Python or R.

Performance may degrade with very large datasets due to memory constraints in Juliamedium

Julia's memory management can sometimes lead to performance bottlenecks when handling extremely large datasets, which could impact the efficiency of MixedModels.jl.

Documentation may be insufficient for beginners or those new to Juliahigh

The documentation might not cover all use cases in detail, and the learning curve for both Julia and mixed-effects modeling can be steep for newcomers.

Fit analysis

Who is it for?

✓ Best for

Research teams working with complex datasets requiring mixed-effects models

Academics needing precise statistical analysis tools for publication-quality research

✕ Not a fit for

Projects that require real-time data processing and model fitting

Users who prefer a graphical user interface over command-line or script-based interaction

Cost structure

Pricing

Free Tier

Available

Open source — free to use

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$0

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None

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Next step

Get Started with Mixed Models

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →