Reference documentation and vignettes for ten actively maintained R packages covering regression diagnostics, customer segmentation, descriptive statistics and inference.
Ten packages, all on CRAN, all documented, all actively maintained. Each was written while teaching at Rsquared Academy and shared in the hope that others find them useful.
The goal is software which is user friendly, light weight, well tested and well documented. Major bugs get fixed quickly; feature requests are considered but not promised.
Flagship
Tools for building linear regression models.
Diagnostics, variable selection and influence measures for a fitted lm.
Flagship
Tools for building binary logistic regression models.
Model fit, validation and collinearity for a fitted glm with a binary outcome.
Flagship
Tools for interactive data analysis.
Descriptive, inferential and visual analysis behind a Shiny interface. See https://apps.rsquaredacademy.com/.
Flagship
Tools for generating descriptive and summary statistics.
The fastest way to screen a data frame before you model it.
Flagship
Tools for inferential statistics.
Hypothesis tests with plain R syntax — no formulas to memorise.
Flagship
Tools for visualizing probability distributions.
Plot the binomial, chi square, normal, F and t distributions. See https://apps.rsquaredacademy.com/.
Flagship
Tools for binning data.
Turn continuous variables into factors, and generate dummy variables from them.
Flagship
Tools for RFM analysis.
Score and segment customers from transaction-level data. See https://apps.rsquaredacademy.com/.
Archived
Fetched data from the National Stock Exchange of India.
No longer installable from CRAN. Source and issue tracker are on GitHub.
