A quick reference for how to run many models in R.
-
Updated
May 19, 2018 - R
A quick reference for how to run many models in R.
structured additive regression models talk
A workshop on using generalized additive models and the mgcv package.
Demonstration of alternatives to lme4
Functions for using mgcv for mixed models. 📈
👓 Functions related to R visualizations
Data and analysis scripts associated with the manuscript: Native word order processing is not uniform: An ERP-study of verb-second word order. This paper was accepted for publication in Frontiers in Psychology - Language Sciences on Feb 3, 2022; DOI: 10.3389/fpsyg.2022.668276
An R package for extracting results from mixed models that are easy to use and viable for presentation.
Repository that contains all the data, code and manuscript files for a paper that explores the use of GAMs in biomedical research.
worked R examples
GAM workshop for NHS-R Community Conference 2023
Generalized Additive Forecasting Mortality
A document introducing generalized additive models.📈
Bindings for Additive TidyModels
ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
Add a description, image, and links to the mgcv topic page so that developers can more easily learn about it.
To associate your repository with the mgcv topic, visit your repo's landing page and select "manage topics."