danielvartan / sqlr

πŸ” System for systematic quantitative literature reviews

Home Page:https://danielvartan.github.io/sqlr/

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sqlr

Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public. Lifecycle: experimental R-CMD-check Codecov test coverage License: MIT Contributor Covenant

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. 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.

Installation

You can install sqlr with:

# 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 sqlr citation below.

citation("sqlr")
#> 
#> To cite {sqlr} in publications use:
#> 
#>   Vartanian, D. (2023). {sqlr}: a system for systematic quantitative
#>   literature reviews. R package version 0.0.0.9000.
#>   https://giperbio.github.io/sqlr/
#> 
#> A BibTeX entry for LaTeX users is
#> 
#>   @Unpublished{,
#>     title = {{sqlr}: a system for systematic quantitative literature reviews},
#>     author = {Daniel Vartanian},
#>     year = {2023},
#>     url = {https://giperbio.github.io/sqlr/},
#>     note = {R package version 0.0.0.9000},
#>   }

Contributing

We welcome contributions, including bug reports.

Take a moment to review our Guidelines for Contributing.


Become an sqlr supporter!

Click here to make a donation. Please indicate the sqlr package in your donation message.

About

πŸ” System for systematic quantitative literature reviews

https://danielvartan.github.io/sqlr/

License:Other


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Language:R 100.0%