Rsquared Academy uses R packages for teaching business analytics/ data science courses. In the process, we created a few packages and would like to share them with the community in the hope that others will find it useful in teaching and learning data science with R.

The olsrr package provides tools for building OLS regression models. It includes regression diagnostics and several variable selection procedures. Learn more..

CRAN     GitHub     Website     App

descriptr eases the process of generating summary statistics and exploration of statistical distributions. It includes a set of functions for visualizing key distributions and summarizing data. Learn more..

CRAN     GitHub     Website     App

The inferr package builds upon the statistical tests provided in stats package, provides additional and flexible input options, and more detailed and structured test results. Learn more..

CRAN     GitHub     Website     App

The blorr package provides tools for builing binary logistic regression models. Learn more..

CRAN     GitHub     Website     App

A simple light weight package for customer segmentation using recency, frequency and monetary value analysis. Learn more..

CRAN     GitHub     Website     App

Tools for visualizing probability distributions. Learn more..

CRAN     GitHub     Website     App

Tools for binning data. Learn more..

GitHub     Website    

Tools for retrieving R package information from CRAN, GitHub and Stack Overflow. Learn more..

GitHub     Website    

The xplorerr package provides a set of shiny apps for descriptive statistics, hypothesis testing, data visualization and regression modeling. Learn more..

GitHub     Website     App

investorr offers beginner friendly tools for quantitative finance. It includes a shiny app financial calculation and can be used for teaching introductory finance courses using R. Learn more..

GitHub     Website