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The package waywiser maintained by Mike Mahoney provides ergonomic methods for assessing spatial models. Assessing predictive models of spatial data can be challenging, both because these models are typically built for extrapolating outside the original region represented by training data and due to potential spatially structured errors, with “hot spots” of higher than expected error clustered geographically due to spatial structure in the underlying data. The waywiser package tries to make it easier, providing methods for assessing models fit to spatial data, including approaches for measuring the spatial structure of model errors, assessing model predictions at multiple spatial scales, and evaluating where predictions can be made safely....
The rOpenSci Champions Program starts this 2024 with a new cohort of Champions. We are pleased to introduce you to our Champions and their projects!
We recently introduced a new paragraph to the development version of our dev guide Provide a way for users to opt out of verbosity, preferably at the package level: make message creation dependent on an environment variable or option (like “usethis.quiet” in the usethis package), rather than on a function parameter. The control of messages could be on several levels (“none, “inform”, “debug”) rather than logical (no messages at all / all messages)....
MacOS ARM64 binaries for use on Apple Silicon (aka M1/M2/M3) through R-universe; coworking; new packages and package news
As part of rOpenSci’s multilingual publishing project1, we have been developing the babeldown R package, for translating Markdown-based content using the DeepL API. In a previous tech note we demonstrated the use of babeldown for translating a blog post in a workflow supported by Git. Here we use babeldown for translating living documents, such as our developer’s guide. In this case, translations not only need to be created at the time in first writing, but also updated as the document is changed over time....
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