infer: a package for tidy statistical inference

Speakers:
- Chester Ismay - DataCamp - http://chester.rbind.io/
- Andrew Bray - Reed College - http://andrewpbray.github.io/

Description: How do you code-up a permutation test in R? What about an ANOVA or a chi-square test? 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. Lastly, we'll walk through some examples of how to implement the code. The package is aimed to be useful to new students of statistics as well as seasoned practitioners.

infer: https://infer.netlify.com/

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