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gtag(){dataLayer.push(arguments);}\n  gtag('js', new Date());\n\n  gtag('config', 'G-XCE4LLC91W');\n\u003c/script\u003e\n\n[![License](https://img.shields.io/badge/license-CC_BY--NC--ND_4.0-blue.svg)](https://creativecommons.org/licenses/by-nc-nd/4.0/)\n\n## List of contents\n\n### Shiny apps\n\n* Simple linear regression\n\t* [Least squares and distance choice](https://myshiny.duckdns.org/least-squares)\n\t* [Randomness of the regression line](https://myshiny.duckdns.org/lm-random)\n\t* [Coverage of confidence intervals](https://myshiny.duckdns.org/ci-random)\n\t* [Confidence intervals for prediction](https://myshiny.duckdns.org/ci-prediction)\n\t* [ANOVA decomposition](https://myshiny.duckdns.org/anova)\n\t* [Nonlinear relationships](https://myshiny.duckdns.org/non-linear)\n* Multiple linear regression\n\t* [Least squares and distance choice](https://myshiny.duckdns.org/least-squares-3D)\n\t* [Assumptions of the linear model](https://myshiny.duckdns.org/assump-lm-3D)\n\t* [ANOVA decomposition](https://myshiny.duckdns.org/anova-3D)\n\t* [Nonlinear relationships](https://myshiny.duckdns.org/mult-non-linear)\n\t* [Partial least squares and principal component regression](https://myshiny.duckdns.org/plsr)\n* Logistic regression\n\t* [Logistic curve and maximum likelihood](https://myshiny.duckdns.org/log-maximum-likelihood)\n\t* [Randomness of the logistic regression curve](https://myshiny.duckdns.org/log-random)\n\t* [Confidence intervals for prediction](https://myshiny.duckdns.org/log-ci-prediction)\n\t* [Nonlinear relationships](https://myshiny.duckdns.org/log-non-linear)\n* Nonparametric density estimation\n\t* [Bias and variance of the moving histogram](https://myshiny.duckdns.org/bias-var-movhist/)\n\t* [Kernel density estimator](https://myshiny.duckdns.org/kde/)\n\t* [Bandwidth selection in kernel density estimation](https://myshiny.duckdns.org/kde-bwd/)\n\t* [Transformed kernel density estimator](https://myshiny.duckdns.org/kde-transf/)\n* Nonparametric regression estimation\n\t* [Local polynomial regression estimator](https://myshiny.duckdns.org/kreg/)\n\t* [Local likelihood estimator](https://myshiny.duckdns.org/loclik/)\n* Other\n\t* [Overfitting in regression](https://myshiny.duckdns.org/over-fitting/)\n\t* [Nonparametric vs parametric estimation](https://myshiny.duckdns.org/dist-mse/)\n\n### `Rmd` documents\n\n* [A 10 minute-ish introduction to linear regression](https://myshiny.duckdns.org/10min-lin-reg/)\n\n## Required packages\n\nTo run the applications in this repository, install the following R packages:\n\n```r\ninstall.packages(c(\"shiny\", \"pls\", \"mvtnorm\", \"viridis\", \"nor1mix\", \"rgl\",\n                   \"plot3Drgl\", \"plot3D\", \"ks\"))\n```\n\n## License\n\nAll the material in this repository is licensed under [CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fegarpor%2Fshinyserver","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fegarpor%2Fshinyserver","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fegarpor%2Fshinyserver/lists"}