Companion Software for the Coursera Statistics with R Specialization

Data and functions to support Bayesian and frequentist inference and decision making for the Coursera Specialization "Statistics with R". See < https://github.com/StatsWithR/statsr> for more information.


BuildStatus CRAN_Status_Badge

statsr

The R package statsr provides functions and datasets to support the Coursera Statistics with R Specialization videos and open access book An Introduction to Bayesian Thinking for learning Bayesian and frequentist statistics using R.

To install the latest version from github, verify that there is a passing badge above on the README page. In R enter

library(devtools)
devtools::install_github("statswithr/statsr",
                         dependencies=TRUE,
                         upgrade_dependencies = TRUE)

This will install the packages and any packages that are required, as well as updating any installed packages to their latest versions.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("statsr")

0.3.0 by Merlise Clyde, 6 years ago


https://github.com/StatsWithR/statsr


Report a bug at https://github.com/StatsWithR/statsr/issues


Browse source code at https://github.com/cran/statsr


Authors: Colin Rundel [aut] , Mine Cetinkaya-Rundel [aut] , Merlise Clyde [aut, cre] , David Banks [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports dplyr, rmarkdown, knitr, ggplot2, broom, gridExtra, shiny, cubature, tidyr, tibble, utils

Depends on BayesFactor

Suggests spelling, HistData, testthat


See at CRAN