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 <> and online videos for the "Statistics with R Specialization" <>. 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 <>.

Version: 0.1-0
Depends: R (≥ 3.3.0), BayesFactor
Imports: dplyr, rmarkdown, ggplot2, broom, gridExtra, shiny, cubature, knitr, tidyr
Suggests: HistData
Published: 2018-05-08
Author: Colin Rundel [aut], Mine Cetinkaya-Rundel [aut], Merlise Clyde <> [aut, cre], David Banks [aut]
Maintainer: Merlise Clyde <clyde at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: NEWS
CRAN checks: statsr results


Reference manual: statsr.pdf
Package source: statsr_0.1-0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: statsr_0.1-0.tgz, r-oldrel: statsr_0.1-0.tgz


Please use the canonical form to link to this page.