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This R package implements some machine learning methods for longitudinal and clustered data based on the standard generalized linear mixed effect model, regression trees, and generalized boosted machines.

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MEgbm

This package provides some machine learning methods for longitudinal and clustered data based on the classic generalized linear mixed effect model, classification and regression trees, model based recursive partitioning trees, and generalized boosted machines. A boosted version of the linear mixed effect model of the lme4 package is also implemented.

Why Use MEgbm

  • a data mining approach
  • non-linear assumption of fixed-effects
  • can improve prediction accuracy
  • interpretation

How to get Started?

Install via devtools:

> devtools::install_github("nguforche/MEgbm")

Status

Package is still very experimental and not for public use!

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This R package implements some machine learning methods for longitudinal and clustered data based on the standard generalized linear mixed effect model, regression trees, and generalized boosted machines.

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