Rworkflows: automating reproducible practices for the R community.

ABSTRACT: Despite calls to improve reproducibility in research, achieving this goal remains elusive even within computational fields. Currently, >50% of R packages are distributed exclusively through GitHub. While the trend towards sharing open-source software has been revolutionary, GitHub does not have any default built-in checks for minimal coding standards or software usability. This makes it difficult to assess the current quality R packages, or to consistently use them over time and across platforms. While GitHub-native solutions are technically possible, they require considerable time and expertise for each developer to write, implement, and maintain. To address this, we develop rworkflows; a suite of tools to make robust continuous integration and deployment ( https://github.com/neurogenomic

SUBMITTER: Schilder BM 

PROVIDER: S-EPMC10761765 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature