RAQSAPI - Acknowledgements

Acknowledgements

RAQSAPI was included in the Rblogger’s March 2021: “Top 40” New CRAN Packages.

The RAQSAPI package borrows upon functions and code provided by sources not mentioned in the DESCRIPTION file. Here we attempt to acknowledge those sources without them RAQSAPI would not be possible.

  • README badges are provided by R package badgecreator1.
  • The R package usethis2 was used to generate GitHub actions for Continuous integration (CI).
  • Code cleanup was assisted by the R package lintr3
  • the function install.packages are provided by the R package utils4
  • the function pkg_install are provided by the R package pak5
  • .gitignore file borrowed examples from https://github.com/github/gitignore/blob/master/R.gitignore
  • . CITATION.cff file was generated by the R package cffr6
  • R package urlchecker7 was used to check urls in RAQSAPI documentation
  • R package goodpractice8 was used for static code checking
  • R package formatR9 was used to form code in this repository
  • R package testthat10 is used for unit testing
  • unit tests are mocked using R package httptest211

Additionally the project maintainers would like to thank the following people: Cynthia Sthal, Maria Morresi both at the US Environmental Protection Agency and Hayley Brittingham at Neptune and Company for their assistance with improving the package documentation. This is a huge undertaking, documentation is often overlooked and not given proper attention to. We thank you for your efforts.

(1)
Hogervorst, R. M. Badgecreatr: Create Badges for ’Travis’, ’Repostatus’ ’Codecov.io’ Etc in Github Readme; 2019.
(2)
Wickham, H.; Bryan, J.; Barrett, M.; Teucher, A. Usethis: Automate Package and Project Setup; 2024. https://doi.org/10.32614/CRAN.package.usethis.
(3)
Hester, J.; Angly, F.; Hyde, R.; Chirico, M.; Ren, K.; Rosenstock, A.; Patil, I. Lintr: A ’Linter’ for r Code; 2025. https://doi.org/10.32614/CRAN.package.lintr.
(4)
Team, R. C. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2019.
(5)
Csardi, G.; Hester, J. Pak: Another Approach to Package Installation; 2026. https://doi.org/10.32614/CRAN.package.pak.
(6)
Hernangómez, D. cffr: Generate Citation File Format Metadata for R Packages. Journal of Open Source Software 2021, 6 (67), 3900. https://doi.org/10.21105/joss.03900.
(7)
R Core team; Hester, J.; Csárdi, G. Urlchecker: Run CRAN URL Checks from Older r Versions; 2021. https://doi.org/10.32614/CRAN.package.urlchecker.
(8)
Padgham, M.; Marks, K.; de Bortoli, D.; Csardi, G.; Frick, H.; Jones, O.; Alexander, H. Goodpractice: Advice on r Package Building; 2024. https://doi.org/10.32614/CRAN.package.goodpractice.
(9)
Xie, Y. formatR: Format r Code Automatically; 2023. https://doi.org/10.32614/CRAN.package.formatR.
(10)
Wickham, H. Testthat: Get Started with Testing. The R Journal 2011, 3, 5–10.
(11)
Richardson, N. Httptest2: Test Helpers for Httr2; 2025. https://doi.org/10.32614/CRAN.package.httptest2.