infer: An R package for tidyverse-friendly statistical inference
Simon Couch, Andrew Bray, Chester Ismay, Evgeni Chasnovski, Benjamin S. Baumer, Mine Çetinkaya-Rundel
Abstract
infer implements an expressive grammar to perform statistical inference that adheres to the tidyverse design framework Rather than providing methods for specific statistical tests, this package consolidates the principles that are shared among common hypothesis tests and confidence intervals into a set of four main verbs (functions), supplemented with many utilities to visualize and extract value from their outputs.
Topics & Concepts
R packageInferenceStatistical inferenceComputer scienceArtificial intelligenceStatisticsMathematicsProgramming languageData Analysis with RMachine Learning and Data ClassificationGaussian Processes and Bayesian Inference