https://github.com/debruine/compreprev
A structured guide to computational reproducibility reviews
https://github.com/debruine/compreprev
code-check computational-reproducibility
Last synced: 3 months ago
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A structured guide to computational reproducibility reviews
- Host: GitHub
- URL: https://github.com/debruine/compreprev
- Owner: debruine
- License: cc-by-4.0
- Created: 2023-12-12T05:00:04.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-06-10T08:45:53.000Z (almost 2 years ago)
- Last Synced: 2025-10-11T14:25:53.947Z (8 months ago)
- Topics: code-check, computational-reproducibility
- Language: R
- Homepage: https://debruine.github.io/compreprev/
- Size: 567 KB
- Stars: 4
- Watchers: 2
- Forks: 0
- Open Issues: 11
-
Metadata Files:
- Readme: README.Rmd
- Changelog: NEWS.md
- License: LICENSE.md
Awesome Lists containing this project
README
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# compreprev
{compreprev} is an R package containing a shiny app to help with computational reproducibility reviews. You can also access the [shiny app](https://rstudio-connect.psy.gla.ac.uk/compreprev) online.
## Installation
You can install the development version of compreprev from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("debruine/compreprev")
```
And launch the shiny app with:
``` r
compreprev::app()
```
## Motivation