https://github.com/egarpor/shinyserver
A served-oriented repository of Shiny apps and Rmd documents
https://github.com/egarpor/shinyserver
rmd server shiny
Last synced: 5 months ago
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A served-oriented repository of Shiny apps and Rmd documents
- Host: GitHub
- URL: https://github.com/egarpor/shinyserver
- Owner: egarpor
- License: other
- Created: 2017-08-25T20:21:37.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2026-02-01T15:01:47.000Z (5 months ago)
- Last Synced: 2026-02-02T00:25:53.728Z (5 months ago)
- Topics: rmd, server, shiny
- Language: R
- Homepage: https://egarpor.github.io/ShinyServer/
- Size: 49.8 MB
- Stars: 10
- Watchers: 1
- Forks: 6
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
ShinyServer
===========
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-XCE4LLC91W');
[](https://creativecommons.org/licenses/by-nc-nd/4.0/)
## List of contents
### Shiny apps
* Simple linear regression
* [Least squares and distance choice](https://myshiny.duckdns.org/least-squares)
* [Randomness of the regression line](https://myshiny.duckdns.org/lm-random)
* [Coverage of confidence intervals](https://myshiny.duckdns.org/ci-random)
* [Confidence intervals for prediction](https://myshiny.duckdns.org/ci-prediction)
* [ANOVA decomposition](https://myshiny.duckdns.org/anova)
* [Nonlinear relationships](https://myshiny.duckdns.org/non-linear)
* Multiple linear regression
* [Least squares and distance choice](https://myshiny.duckdns.org/least-squares-3D)
* [Assumptions of the linear model](https://myshiny.duckdns.org/assump-lm-3D)
* [ANOVA decomposition](https://myshiny.duckdns.org/anova-3D)
* [Nonlinear relationships](https://myshiny.duckdns.org/mult-non-linear)
* [Partial least squares and principal component regression](https://myshiny.duckdns.org/plsr)
* Logistic regression
* [Logistic curve and maximum likelihood](https://myshiny.duckdns.org/log-maximum-likelihood)
* [Randomness of the logistic regression curve](https://myshiny.duckdns.org/log-random)
* [Confidence intervals for prediction](https://myshiny.duckdns.org/log-ci-prediction)
* [Nonlinear relationships](https://myshiny.duckdns.org/log-non-linear)
* Nonparametric density estimation
* [Bias and variance of the moving histogram](https://myshiny.duckdns.org/bias-var-movhist/)
* [Kernel density estimator](https://myshiny.duckdns.org/kde/)
* [Bandwidth selection in kernel density estimation](https://myshiny.duckdns.org/kde-bwd/)
* [Transformed kernel density estimator](https://myshiny.duckdns.org/kde-transf/)
* Nonparametric regression estimation
* [Local polynomial regression estimator](https://myshiny.duckdns.org/kreg/)
* [Local likelihood estimator](https://myshiny.duckdns.org/loclik/)
* Other
* [Overfitting in regression](https://myshiny.duckdns.org/over-fitting/)
* [Nonparametric vs parametric estimation](https://myshiny.duckdns.org/dist-mse/)
### `Rmd` documents
* [A 10 minute-ish introduction to linear regression](https://myshiny.duckdns.org/10min-lin-reg/)
## Required packages
To run the applications in this repository, install the following R packages:
```r
install.packages(c("shiny", "pls", "mvtnorm", "viridis", "nor1mix", "rgl",
"plot3Drgl", "plot3D", "ks"))
```
## License
All the material in this repository is licensed under [CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/).