https://github.com/danielvartan/sqlr
🔍 System for Systematic Quantitative Literature Eeviews
https://github.com/danielvartan/sqlr
evidence-synthesis r r-package rstats systematic-review
Last synced: 5 months ago
JSON representation
🔍 System for Systematic Quantitative Literature Eeviews
- Host: GitHub
- URL: https://github.com/danielvartan/sqlr
- Owner: danielvartan
- License: other
- Archived: true
- Created: 2021-03-22T03:12:03.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2023-09-26T05:08:06.000Z (about 2 years ago)
- Last Synced: 2025-04-05T09:24:42.985Z (6 months ago)
- Topics: evidence-synthesis, r, r-package, rstats, systematic-review
- Language: R
- Homepage: https://danielvartan.github.io/sqlr/
- Size: 91.4 MB
- Stars: 8
- Watchers: 1
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.Rmd
- Contributing: .github/CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Codemeta: codemeta.json
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%"
)library(sqlr)
```# sqlr
[](https://www.repostatus.org/#wip)
[](https://lifecycle.r-lib.org/articles/stages.html#experimental)
[](https://github.com/giperbio/sqlr/actions)
[](https://app.codecov.io/gh/giperbio/sqlr?branch=main)
[](https://choosealicense.com/licenses/mit/)
[](https://giperbio.github.io/sqlr/CODE_OF_CONDUCT.html)## Overview
`sqlr` is an R package that provides a system to produce systematic quantitative literature reviews, a systematic review method presented by Catherine Pickering and Jason Byrne in [2014](https://doi.org/10.1080/07294360.2013.841651). Its aim is to facilitate the work of PhD candidates and other early-career researchers with evidence synthesis and to improve reproducibility in research.
Learn more about systematic quantitative literature reviews [here](https://www.griffith.edu.au/griffith-sciences/school-environment-science/research/systematic-quantitative-literature-review).
## Installation
You can install `sqlr` with:
``` {r, eval = FALSE}
# install.packages("remotes")
remotes::install_github("giperbio/sqlr")
```## Citation
If you use `sqlr` in your research, please consider citing it. We put a lot of work to build and maintain a free and open-source R package. You can find the citation below.
```{r}
citation("sqlr")
```## Contributing
We welcome contributions, including bug reports.
Take a moment to review our [Guidelines for Contributing](https://giperbio.github.io/sqlr/CONTRIBUTING.html).
Become an `sqlr` supporter!
Click [here](https://github.com/sponsors/danielvartan) to make a donation. Please indicate the `sqlr` package in your donation message.