mgcv

ggplot-based graphics and useful functions for GAMs fitted using the mgcv package

worked R examples

A document introducing generalized additive models.📈

An R package for extracting results from mixed models that are easy to use and viable for presentation.

👓 Functions related to R visualizations

Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}

A workshop on using generalized additive models and the mgcv package.

Tools for constructing and plotting Markov Random Fields in R for graphical data

Repository that contains all the data, code and manuscript files for a paper that explores the use of GAMs in biomedical research.

Functions for using mgcv for mixed models. 📈

A quick reference for how to run many models in R.

Demonstration of alternatives to lme4

GAM workshop for NHS-R Community Conference 2023

Bindings for Additive TidyModels

structured additive regression models talk

Model-neutral influence diagnostics and standardised CPUE indices for fisheries models in R.

Why mgcv package is awesome

Generalized Additive Forecasting Mortality

📈 Generalized Additive Mixed Models using Shiny and Mgcv

A statistical framework to isolate and attribute anthropogenic seismic energy from wind turbine operations near the Eskdalemuir Seismological Array (EKA). This project uses R and mgcv to model non-linear environmental drivers and assess regulatory compliance with UK MoD seismic budgets.