How do you code-up a permutation test in R? What about an ANOVA? The infer package was created to unite these and other common statistical inference tasks into an expressive and intuitive framework. This talk will focus on the design principles of the package, which are firmly motivated by the tidy tools manifesto. It will also discuss the implementation, centered on the common conceptual threads that link a surprising range of hypothesis tests and confidence intervals. The package is aimed to be useful to new students of statistics as well as seasoned practitioners.
Andrew Bray teaches courses in statistics and data science at the University of California, Berkeley. His research interests include statistical computing, data privacy, and applications of statistical models to environmental science.