https://github.com/ignacio82/vizdraws

vizdraws creates interactive visualizations using draws from a prior and posterior distributions.
https://github.com/ignacio82/vizdraws

bayesian visualization visualization-library visualization-tools

Last synced: 5 months ago
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vizdraws creates interactive visualizations using draws from a prior and posterior distributions.

• Host: GitHub
• URL: https://github.com/ignacio82/vizdraws
• Owner: ignacio82
• Created: 2017-11-19T19:54:27.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2025-06-04T02:56:19.000Z (9 months ago)
• Last Synced: 2025-10-12T12:58:11.237Z (5 months ago)
• Topics: bayesian, visualization, visualization-library, visualization-tools
• Language: JavaScript
• Homepage: http://vizdraws.martinez.fyi
• Size: 1.22 MB
• Stars: 9
• Watchers: 4
• Forks: 10
• Open Issues: 6
• Metadata Files:
  • Readme: README.Rmd
  • Changelog: NEWS.md

Awesome Lists containing this project

README

          
---

output:

  md_document:

    variant: gfm

---

```{r, echo = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "README-"

)

```

# vizdraws

**vizdraws** creates interactive visualizations using draws from a prior and posterior distributions.

[![CRAN\_Status\_Badge](https://www.r-pkg.org/badges/version/vizdraws?color=blue)](https://cran.r-project.org/package=vizdraws)

[![Downloads_grand-total](http://cranlogs.r-pkg.org/badges/grand-total/vizdraws?color=blue)](https://cran.r-project.org/package=vizdraws)

[![last-month](http://cranlogs.r-pkg.org/badges/last-month/vizdraws?color=blue)](https://cran.r-project.org/package=vizdraws)

[![last-week](http://cranlogs.r-pkg.org/badges/last-week/vizdraws?color=blue)](https://cran.r-project.org/package=vizdraws)

## Installation

``` r

install.packages('vizdraws')

```

The latest development version can be installed from github:

``` r

# install.packages("remotes")

remotes::install_github('ignacio82/vizdraws')

```

## Example

This is a example which shows you how to how to visualize the transition from the prior to the posterior:

```{r example, eval=FALSE}

library(vizdraws)

set.seed(9782)

vizdraws(prior = rnorm(10000, 0, 1), posterior = rnorm(10000, 1.1, 0.5), MME = 0.5, threshold = 0.8)

```

![](https://ignacio.martinez.fyi/Posterior.gif)

### Notes

The bell-curve icon was [created by Davo Sime.](https://thenounproject.com/term/bell-curve/614251/)