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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
```
# NHS-R Community Conference 2023
## Modelling non-linear data with Generalized Additive Models (GAMs), using the mgcv package
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This is a repository for my workshop on GAMs for NHS-R community conference 2023.
This course uses Simon Wood's `mgcv` R package: https://cran.r-project.org/web/packages/mgcv/index.html
The teaching material draws heavily from Noam Ross' introduction to GAMs in R course, and you can find the course
and the GitHub repository on the following links:
https://noamross.github.io/gams-in-r-course/
https://github.com/noamross/gams-in-r-course
They are really good, and you'll find out more about GAMs using them than my workshop will cover.
The course material in this course is licensed CC-BY, meaning you are free to use it, change it etc. as long as you attribute the original workshop to me, and I in turn attribute the source material and inspiration to Noam Ross.
You can view the slides at: https://chrismainey.github.io/GAMworkshop/GAMworkshop.html