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: about 1 month 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 (over 7 years ago)
• Default Branch: master
• Last Pushed: 2022-02-23T20:24:29.000Z (almost 3 years ago)
• Last Synced: 2024-11-13T16:42:49.474Z (2 months ago)
• Topics: rmd, server, shiny
• Language: HTML
• Homepage: https://egarpor.github.io/ShinyServer/
• Size: 49.5 MB
• Stars: 9
• Watchers: 1
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
ShinyServer

===========

[![License](https://img.shields.io/badge/license-CC_BY--NC--ND_4.0-blue.svg)](https://creativecommons.org/licenses/by-nc-nd/4.0/)

## List of contents

### Shiny apps

* Simple linear regression

	* [Regression coefficients, least squares and distance choice](https://shinyserv.es/shiny/least-squares)

	* [Randomness of the regression line](https://shinyserv.es/shiny/lm-random)

	* [Coverage of the confidence intervals](https://shinyserv.es/shiny/ci-random)

	* [Confidence intervals for prediction](https://shinyserv.es/shiny/ci-prediction)

	* [ANOVA decomposition](https://shinyserv.es/shiny/anova)

	* [Dealing with nonlinear relationships](https://shinyserv.es/shiny/non-linear)

* Multiple linear regression

	* [Least squares and distance choice](https://shinyserv.es/shiny/least-squares-3D)

	* [Assumptions of the linear model](https://shinyserv.es/shiny/assump-lm-3D)

	* [ANOVA decomposition](https://shinyserv.es/shiny/anova-3D)

	* [Dealing with nonlinear relationships](https://shinyserv.es/shiny/mult-non-linear)

	* [Linear regression, principal component analysis, and partial least squares](https://shinyserv.es/shiny/plsr)

* Logistic regression

	* [Logistic curve and maximum likelihood fit](https://shinyserv.es/shiny/log-maximum-likelihood)

	* [Randomness of the logistic regression curve](https://shinyserv.es/shiny/log-random)

	* [Confidence intervals for prediction](https://shinyserv.es/shiny/log-ci-prediction)

	* [Dealing with nonlinear relationships](https://shinyserv.es/shiny/log-non-linear)

* Nonparametric density estimation

	* [Bias and variance of the moving histogram](https://shinyserv.es/shiny/bias-var-movhist/)

	* [Construction of the kernel density estimator](https://shinyserv.es/shiny/kde/)

	* [Bandwidth selection in kernel density estimation](https://shinyserv.es/shiny/kde-bwd/)

	* [Transformation of kernel density estimator](https://shinyserv.es/shiny/kde-transf/)

* Nonparametric regression estimation

	* [Construction of the local polynomial regression estimator](https://shinyserv.es/shiny/kreg/)

	* [Construction of the local likelihood estimator](https://shinyserv.es/shiny/loclik/)

* Other

	* [An illustration of nonparametric vs parametric estimation](https://shinyserv.es/shiny/dist-mse/)

### `Rmd` documents

* [A 10 minute-ish introduction to linear regression](https://shinyserv.es/shiny/10min-lin-reg/)

## 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/).