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We want to know how you use rOpenSci packages and resources so we can give them, their developers, and your examples more visibility. It’s valuable to both users and developers of a package to see how it has been used “in the wild”. This goes a long way to encouraging people to keep up development knowing there are others who appreciate and build on their work. This also helps people imagine how they might use a package to address their research question, and provides some code to give them a head-start....
If you have an R package on CRAN, you probably know about CRAN checks. Each package on CRAN, that is not archived on CRAN1, has a checks page, like this one for ropenaq: https://cloud.r-project.org/web/checks/check_results_ropenaq.html The table above is results of running R CMD CHECK on the package on a combination of different operating systems, R versions and compilers. CRAN maintainers presumably use these as a basis for getting in touch with maintainers when these checks are failing....
As announced in February, we now have an online book containing all things related to rOpenSci software review. Our goal is to update it approximately quarterly - it’s time to present the third version. You can read the changelog or this blog post to find out what’s new in our dev guide 0.3.0! 🔗 Updates to our policies and guidance 🔗 Scope We’ve introduced an important change for anyone thinking of submitting a package....
Image processing is one of the core focus areas of rOpenSci. Over the last few months we have released several major upgrades to core packages in our imaging suite, including magick, tesseract, and av. This post highlights a few cool new features. 🔗 Magick 2.2 The magick package is one of the most powerful packages for image processing in R. It interfaces to the ImageMagick C++ API and can takes advantage of several other R packages providing imaging functionality in R....
citecorp is a new (hit CRAN in late August) R package for working with data from the OpenCitations Corpus (OCC). OpenCitations, run by David Shotton and Silvio Peroni, houses the OCC, an open repository of scholarly citation data under the very open CC0 license. The I4OC (Initiative for Open Citations) is a collaboration between many parties, with the aim of promoting “unrestricted availability of scholarly citation data”. Citation data is available through Crossref, and available in R via our packages rcrossref, fulltext and crminer....
Happy rOpenSci users can be found at