https://github.com/rensvandeschoot/plausible-parameter-space
The Plausible Parameter Space (PPS) Shiny App is designed to help users define their priors in a linear regression with two regression coefficients.
https://github.com/rensvandeschoot/plausible-parameter-space
bayes bayesian-inference posterior-probability prior shiny-apps
Last synced: 3 months ago
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The Plausible Parameter Space (PPS) Shiny App is designed to help users define their priors in a linear regression with two regression coefficients.
- Host: GitHub
- URL: https://github.com/rensvandeschoot/plausible-parameter-space
- Owner: Rensvandeschoot
- License: mit
- Created: 2022-08-04T09:02:54.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-08-04T09:54:37.000Z (about 3 years ago)
- Last Synced: 2025-04-08T06:18:02.670Z (6 months ago)
- Topics: bayes, bayesian-inference, posterior-probability, prior, shiny-apps
- Language: R
- Homepage:
- Size: 212 KB
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Plausible Parameter Space (PPS) Shiny App
## :star: Purpose
The Plausible Parameter Space (PPS) Shiny App is designed to
help users define their priors in a linear regression with two regression
coefficients. Users are asked to specify their plausible parameter space and
their expected prior means and uncertainty around these means. The PhD-delay
data ([Van de Schoot et al.,
2013](http://dx.doi.org/10.1371/journal.pone.0068839)) is used an easy-to-go
introduction to Bayesian inference. In this example the linear and quadratic
effect of age on PhD-delay are estimated. Users learn about the interaction
between a linear and a quadratic effect in the same model, about how to think
about plausible parameter spaces, and about specification of normally
distributed priors for regression coefficients.
## :gem: How can you profit from it?
First of all, this app might be a useful
tool for your teaching if you would like to familiarize your students with the
basic logic of Bayesian inference. Second, feel free to use this material as a
template for your own app.
## Installation
Download the files, open R-studio, install the R-packages, and run the app.
The Shiny app also runs at a server of [Utrecht University](https://www.rensvandeschoot.com/tutorials/pps-app/).
## Usage
The app is self-explanatory. Users can just follow the 4 steps listed in the
left side bar and answer the various questions asked.
[](https://www.rensvandeschoot.com/tutorials/pps-app/)
## Contact
[Laurent Smeets](https://github.com/LaurentSmeets), [Ihnwhi Heo](https://github.com/IhnwhiHeo) or [Rens van de Schoot](https://github.com/Rensvandeschoot)
## Reference
To cite the PhD-data:
Van de Schoot, R., Yerkes, M.A., Mouw, J.M. & Sonneveld, H. (2013). What Took Them So Long? Explaining PhD Delays among Doctoral Candidates. PLoS One, 8(7): e68839. DOI: http://dx.doi.org/10.1371/journal.pone.0068839
## Funding
This project was funded by the Netherlands organization for scientific research (NWO);grant number VIDI-452-14-006.