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https://github.com/jhrcook/rpackageplayground

My repository for trying out R packages and tutorials.
https://github.com/jhrcook/rpackageplayground

r r-language r-package r-packages r-programming

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My repository for trying out R packages and tutorials.

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# R Package Playground

author: Josh Cook
date: 2019-09-20

[![jhc github](https://img.shields.io/badge/GitHub-jhrcook-181717.svg?style=flat&logo=github)](https://github.com/jhrcook)
[![jhc twitter](https://img.shields.io/badge/Twitter-@JoshDoesA-00aced.svg?style=flat&logo=twitter)](https://twitter.com/JoshDoesa)
[![jhc website](https://img.shields.io/badge/Website-Joshua_Cook-5087B2.svg?style=flat&logo=telegram)](https://joshuacook.netlify.com)

This is a repository where I can practice using various R packages or follow tutorials that I find interesting.

## Explored packages

* ['lavaan'](http://lavaan.ugent.be/index.html)
* ['lme4'](https://cran.r-project.org/web/packages/lme4/index.html)

## Tutorials

## In Progress

* ['brms'](https://github.com/paul-buerkner/brms)
* [*Bayesian modeling in R*](https://www.r-bloggers.com/bayesian-models-in-r-2/)
* [*Computing and visualizing LDA in R*](https://www.r-bloggers.com/computing-and-visualizing-lda-in-r/)
+ I need to finish with STHDA tutorial that goes into other forms of discriminant analysis.

## To Explore

* ['recipes'](https://github.com/tidymodels/recipes)
* ['rms'](http://biostat.mc.vanderbilt.edu/wiki/Main/RmS)
* ['h2o'](https://github.com/h2oai/h2o-3)
* causal inference
* missing data ([CRAN Task View](https://cran.r-project.org/web/views/MissingData.html))
* ['missForest'](https://cran.r-project.org/web/packages/missForest/index.html)
* ['simputation'](https://cran.r-project.org/web/packages/simputation/index.html)
* ['dils'](https://cran.r-project.org/web/packages/dils/index.html)
* ['DiffusionRimp'](https://cran.r-project.org/web/packages/DiffusionRimp/index.html)
* ['LearnBayes'](https://cran.r-project.org/web/packages/LearnBayes/index.html)

## General Resources

* [CRAN Task Views](https://cran.r-project.org/web/views/)