https://github.com/statsim/gamm
📈 Generalized Additive Mixed Models using Shiny and Mgcv
https://github.com/statsim/gamm
gamm mgcv r shiny
Last synced: 4 months ago
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📈 Generalized Additive Mixed Models using Shiny and Mgcv
- Host: GitHub
- URL: https://github.com/statsim/gamm
- Owner: statsim
- Created: 2019-10-12T07:47:59.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2019-10-12T08:04:31.000Z (over 5 years ago)
- Last Synced: 2025-01-05T22:24:57.473Z (5 months ago)
- Topics: gamm, mgcv, r, shiny
- Language: R
- Homepage: https://statsim.shinyapps.io/gamm/
- Size: 1000 Bytes
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Generalized Additive Mixed Models using Shiny and mgcv
### Open on shinyapps
[https://statsim.shinyapps.io/gamm/](https://statsim.shinyapps.io/gamm/)
We are currently on a free tier. The app can be offline if there's no hours left.
### Run gamm with R from remote repository
`R -e "shiny::runGitHub('gamm', 'statsim')"` (needs R and shiny installed)
If everything is ok, you'll see something like this:
```
Downloading https://github.com/statsim/gamm/archive/master.tar.gz
Loading required package: shiny
Loading required package: nlme
This is mgcv 1.8-28. For overview type 'help("mgcv-package")'.
Listening on http://127.0.0.1:5352
```
Then just open the link in the browser
### Run locally
`R -e "shiny::runApp('./gamm')"`