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A Julia package for analyzing massive longitudinal data using Linear Mixed Models (LMMs) through the Bag of Little Bootstrap (BLB) method.

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xinkai-zhou/MixedModelsBLB.jl

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MixedModelsBLB.jl is a Julia package for analyzing massive longitudinal data using Linear Mixed Models (LMMs) through the Bag of Little Bootstrap (BLB) method. It offers significant speedup compared to the traditional bootstrap-based LMM analysis. See documentation for more details.

Installation

Download and install Julia. Within Julia, copy and paste the following:

using Pkg
Pkg.add(url="https://github.com/xinkai-zhou/MixedModelsBLB.jl.git")

This package supports Julia v1.6+ for Mac, Linux, and window machines.

Citation

If you use MixedModelsBLB.jl, please cite the following paper:

X. Zhou, J. J. Zhou, and H. Zhou, Bag of little bootstraps for massive and distributed longitudinal data, Stat. Anal. Data Min.: ASA Data Sci. J. (2021), 1–8. https://doi.org/10.1002/sam.11563

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A Julia package for analyzing massive longitudinal data using Linear Mixed Models (LMMs) through the Bag of Little Bootstrap (BLB) method.

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