https://github.com/bart-larsen/GAMM-Tutorial

Guide to executing generalized additive mixed models in R. Includes significance testing, derivative estimation, interaction models, and visualization.
https://github.com/bart-larsen/GAMM-Tutorial

Last synced: 1 day ago
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Guide to executing generalized additive mixed models in R. Includes significance testing, derivative estimation, interaction models, and visualization.

• Host: GitHub
• URL: https://github.com/bart-larsen/GAMM-Tutorial
• Owner: bart-larsen
• Created: 2020-01-09T19:51:12.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-01-09T20:09:44.000Z (almost 5 years ago)
• Last Synced: 2024-08-03T15:05:51.010Z (3 months ago)
• Language: HTML
• Size: 3.88 MB
• Stars: 4
• Watchers: 3
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# GAMM-Tutorial

Guide to executing generalized additive mixed models in R. Includes significance testing, derivative estimation, interaction models, and visualization.

## View the rmarkdown output here:

https://bart-larsen.github.io/GAMM-Tutorial/

## Files

GAMM_tutorial.Rmd   -      Code 

GAMM_tutorial.html   -     Output html  

r2star_data.csv      -     Data  

GAMM_tutorial.pptx   -     Intro slide