https://github.com/statswithr/statsr

Companion package for the Coursera Statistics with R specialization
https://github.com/statswithr/statsr

bayesian-inference coursera statistics

Last synced: 5 months ago
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Companion package for the Coursera Statistics with R specialization

• Host: GitHub
• URL: https://github.com/statswithr/statsr
• Owner: StatsWithR
• License: other
• Created: 2016-04-07T15:45:49.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2021-01-27T16:38:56.000Z (about 5 years ago)
• Last Synced: 2025-10-22T03:46:33.612Z (5 months ago)
• Topics: bayesian-inference, coursera, statistics
• Language: R
• Size: 3.57 MB
• Stars: 73
• Watchers: 11
• Forks: 85
• Open Issues: 6
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

Awesome Lists containing this project

README

          
---

output: github_document

---

```{r, echo = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "README-"

)

```

[![Build Status](https://travis-ci.org/StatsWithR/statsr.svg?branch=BayesFactor)](https://travis-ci.org/StatsWithR/statsr)

[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/statsr)](https://cran.r-project.org/package=statsr)

[![](https://cranlogs.r-pkg.org/badges/statsr)](https://CRAN.R-project.org/package=statsr) [![](https://cranlogs.r-pkg.org/badges/grand-total/statsr)](https://CRAN.R-project.org/package=statsr)

# statsr

The `R` package `statsr` provides functions and datasets to support the Coursera [*Statistics with `R` Specialization*](https://www.coursera.org/specializations/statistics)  videos and open access book

[*An Introduction to Bayesian Thinking*](https://statswithr.github.io/book/) 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

```{r github, echo=TRUE,eval=FALSE}

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.