I’m thrilled to share that waywiser, my R package focused on providing framework-agnostic (but tidymodels-friendly) methods for assessing models fit to spatial data, has passed peer review and been accepted to rOpenSci. As always, the review process improved the package immensely, thanks to the thoughtful reviews of Virgilio Gómez-Rubio and Jakub Nowosad, as well as the shepherding of Anna Krystalli and Paula Moraga as editors.
As of Monday, March 20th, the reviewed version has officially made its way to CRAN. This is a huge update, bringing in a ton of new functions and improving consistency and speed across the package, and I’m excited to have it officially released.
I’m also very excited to have put out a preprint describing the package, which goes a bit deeper into the logic of why and how the package implements the features it does. This is my first solo-authored paper, and by far and away the one with the most equations. Despite both of those, I’m pretty pleased with how this paper turned out; I think it’s a useful addition to the package documentation for users who want a more thorough explication of the scholarly background of package features.
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