An introduction to the MixedModels.jl ecosystem in Julia
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Updated
Jul 4, 2024 - Julia
An introduction to the MixedModels.jl ecosystem in Julia
2024 Master Thesis - UC3M Computational Social Science
The book "Embrace Uncertainty: Fitting Mixed-Effects Models with Julia"
SMLP2024: Advanced methods in frequentist statistics with Julia
Fast cluster-based permutation test for densely-sampled, multi-level time series data
WIDEa (Web Interface for Data Exploration) is R-based software aiming to provide users with a range of functionalities to explore, manage, clean and analyse "big" environmental and (in/ex situ) experimental data.
Applying amortizing neural posterior estimation for non-linear mixed effects models
GLMMs with adaptive Gaussian quadrature
Julia package for fitting regularized linear mixed-effect models on high-dimensional omics data.
Course website for UCLA Biostat 200C - 2023 Spring
Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.
Random forests for longitudinal data using stochastic semiparametric miced-model
General pipeline used for analyzing EEG data where Raw EEG data gets transformed into ERPS and Stats are done in R (Mixed effects models)
General pipeline used for analyzing EEG data where Raw EEG data gets transformed into ERPS and Stats are done in R (Mixed effects models)
Conduct one-way and multi-way anova in Julia with MixedModels.jl
Python package customizing nested cross validation for tabular data.
Early Growth Genetics Longitudinal Analysis
Analysing Age-Specific Death Rates with MixedModels.jl
This incomplete repository is used to facilitate the consultation of individual files in this project. Only files smaller than 100 MB are available here. The complete project is available at http://doi.org/10.17605/OSF.IO/UERYQ.
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