https://github.com/chrismainey/gamworkshop
GAM workshop for NHS-R Community Conference 2023
https://github.com/chrismainey/gamworkshop
gams generalized-additive-models generalized-linear-models mgcv nhs nhs-r nhs-r-community r
Last synced: 7 days ago
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GAM workshop for NHS-R Community Conference 2023
- Host: GitHub
- URL: https://github.com/chrismainey/gamworkshop
- Owner: chrismainey
- License: cc-by-4.0
- Created: 2023-09-30T17:12:56.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-06-11T14:04:39.000Z (11 months ago)
- Last Synced: 2024-06-11T19:17:18.242Z (11 months ago)
- Topics: gams, generalized-additive-models, generalized-linear-models, mgcv, nhs, nhs-r, nhs-r-community, r
- Language: HTML
- Homepage: https://chrismainey.github.io/GAMworkshop/GAMworkshop.html
- Size: 3.93 MB
- Stars: 7
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
- License: LICENSE.md
Awesome Lists containing this project
README
---
output: github_document
---
```{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
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