Our candid takes on the state of CRAN's role in light of recent package archival events, how creative use of LLMs could greatly streamline your next literature review, and a few great illustrations of lazy being a good thing in your R session.
Episode Links
- This week's curator: Eric Nantz - @[email protected] (Mastodon) & @rpodcast.bsky.social (BlueSky) & @theRcast (X/Twitter)
- Is CRAN Holding R Back?
- How to use large language models to assist in systematic literature reviews
- Lazy introduction to laziness in R
- Entire issue available at rweekly.org/2025-W08
Supplement Resources
- A guide to contributing to open-source Python packages https://arilamstein.com/blog/2025/01/02/a-guide-to-contributing-to-open-source-python-packages/
- Continue https://www.continue.dev/
Supporting the show
- Use the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedback
- R-Weekly Highlights on the Podcastindex.org - You can send a boost into the show directly in the Podcast Index. First, top-up with Alby, and then head over to the R-Weekly Highlights podcast entry on the index.
- A new way to think about value: https://value4value.info
- Get in touch with us on social media
- Eric Nantz: @[email protected] (Mastodon), @rpodcast.bsky.social (BlueSky) and @theRcast (X/Twitter)
- Mike Thomas: @[email protected] (Mastodon), @mike-thomas.bsky.social (BlueSky), and @mike_ketchbrook (X/Twitter)
Music credits powered by OCRemix
- Gurgling Desert Pond - Final Fantasy Random Encounter - blackguitar - https://ocremix.org/remix/OCR02555
- Hotel Rhumba - Earthbound - The Pancake Chef - https://ocremix.org/remix/OCR00526