JOSS: Journal of Open Source Software
infer implements an expressive grammar to perform statistical inference that adheres to the tidyverse design framework (Wickham et al., 2019). 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.
Couch, Simon P.; Bray, Andrew P.; Ismay, Chester; Chasnovski, Evgeni; Baumer, B.; and Cetinkaya-Rundel, Mine, "Infer: An R Package for Tidyverse-Friendly Statistical Inference" (2021). Statistical and Data Sciences: Faculty Publications, Smith College, Northampton, MA.
Digital Object Identifier (DOI)
Authors of papers retain copyright and release the work under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.