Infer: An R Package for Tidyverse-Friendly Statistical Inference

Authors

Simon P. Couch, Johns Hopkins University
Andrew P. Bray, University of California - Berkeley
Chester Ismay, Flatiron School
Evgeni Chasnovski
B. Baumer, Smith CollegeFollow
Mine Cetinkaya-Rundel, Duke University

Document Type

Article

Publication Date

9-16-2021

Publication Title

JOSS: Journal of Open Source Software

Volume

6

Issue

65

Abstract

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.

First Page

3661

Recommended Citation

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.
https://scholarworks.smith.edu/sds_facpubs/45

Digital Object Identifier (DOI)

doi.org/10.21105/joss.03661

Rights

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.