README.md

GAMs - sorry you mean GLM?

This repository contains a talk introducing Generalised Additive Models and their applications in R. Feel free to make use of the provided docker container as a starting point for your own analysis.

Docker

This repository contains a docker file based on the rocker\tidyverse docker image. Run the following in the command line (with an active docker installation running) to pull and run the container.

## Pull the container
docker pull seabbs/fc-gam-talk

docker run -d -p 8888:8787 -e USER=gam -e PASSWORD=gam --name gam seabbs/fc-gam-talk

The Rstudio server will be found at localhost:8888, sign in using the username gam and the password gam.

Resources

Listed in no order. - some resources are free and some are not.

• Datacamp GAM course

• Generalized Additive Models - An introduction with R by Simon Wood

• Flexible Regression and Smoothing - Using GAMLSS in R

• MGCV 2018 course

• From the bottom of the heap - GAM focussed blog