The Department of Actuarial Mathematics and Statistics at Heriot-Watt University, Edinburgh, is seeking to appoint an Assistant Professor in Statistical Data Science, or related area.

shinytest2 0.5.0 is Now Available on CRAN I'm excited to announce the release of shinytest2 0.5.0, bringing significant improvements to the R package testing experience for Shiny applications! 🚀 Key Features: Local Package Development Support One of the most requested features is here! `AppDriver$new(app_dir=)` now supports local package development. As long as you have `library()` or `require()` call in your `app.R`, `{shinytest2}` automatically executes `pkgload::load_all()` to load your local R package's source code. This means you no longer need to install your package before testing—a huge time-saver during development! Function Execution Support You can now pass functions directly to `AppDriver$new(app_dir=)`. This provides flexibility for testing apps with dynamic configurations or custom execution environments, such as Shiny packages made using `{golem}`! The function runs in a background R process, similar to `{mirai}`, with full control over the testing environment. Enhanced Package Testing Workflow This release introduces `local_app_support()` and `with_app_support()`, providing package authors with a flexible way to scope app support files within tests. Package authors can now test Shiny applications directly within their package's existing`{testthat}` tests removing the need for calling `test_app()`. This will collect all snapshots in a single location using the package's existing testing infrastructure. Improved Test Recording `record_test()` gained a `record_in_package` parameter that intelligently saves test files to the appropriate location—either in the package's `tests/testthat/` directory or relative to the app's test directory. When recording tests for apps inside packages, `local_app_support()` is automatically added to the testing code. Modernized HTTP Stack Migrated from `{httr}` to `{httr2}` for all HTTP requests, ensuring compatibility with modern R web tooling and better long-term maintenance. 📚 Learn More: - Package website: https://lnkd.in/dt9ZtezY - Use-package vignette: https://lnkd.in/dvv7VRXj - GitHub: https://lnkd.in/dF6rF3CB #rstats #rshiny #DataScience #RStats #ShinyApp #RPackageDevelopment #SoftwareTesting

Gitea - Git with a cup of tea! Painless self-hosted all-in-one software development service, including Git hosting, code review, team collaboration, package registry and CI/CD

Simple git client for R based on libgit2 with support for SSH and HTTPS remotes. All functions in gert use basic R data types (such as vectors and data-frames) for their arguments and return values. User credentials are shared with command line git through the git-credential store and ssh keys stored on disk or ssh-agent.

testthat 3.3.0 brings improved expectations with better error messages, new expectations for common testing patterns, and lifecycle changes including the removal of `local_mock()` and `with_mock()`. It also includes a write-up of my experience doing package development with Claude Code.

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This guide explores essential practices drawn from Quarto’s extensions and community standards, covering project structure, error handling, documentation, and release management to help transform your extensions into reliable, community-friendly tools that stand the test of time.