statsr: Companion Package for Statistics with R

Provides functions and datasets to support inference with the open access book "An Introduction to Bayesian Thinking", available online <https://statswithr.github.io/book> and online videos for the "Statistics with R Specialization" <https://www.coursera.org/specializations/statistics>. which includes an introduction to Bayesian inference and decision making for one and two sample credible intervals and hypothesis testing for Gaussian and Binomial data, in addition to frequentist inference using model-based and randomization-based methods. To help with understanding concepts, 'shiny' applications are used to aide visualization of sampling distributions, credible intervals, hypothesis testing, Lindley's and Bartlett's paradoxes. For development versions or to report issues, please visit <https://github.com/StatsWithR/statsr>.

Getting started

Package details

AuthorColin Rundel [aut], Mine Cetinkaya-Rundel [aut], Merlise Clyde [aut, cre] (<https://orcid.org/-5469>), David Banks [aut]
MaintainerMerlise Clyde <[email protected]>
LicenseGPL (>= 3)
Version0.1-0
URL https://www.r-project.org https://github.com/StatsWithR/statsr
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("statsr")

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statsr documentation built on May 8, 2018, 9:04 a.m.