About this episode
The episode discusses novel statistical techniques for predicting war duration and celebrates milestones in open science with R.
Applying novel statistical and visualization techniques to predict war duration, why there is more than meets the statistical eye behind a classical model benchmarking statistic, and celebrating a major milestone for pioneers in open science with R. Episode Links This week's curator: Colin Fay - @colinfay@fosstodon.org (Mastodon) & @colinfay.bsky.social (Bluesky) & [@_ColinFay]]( https://twitter.com/_ColinFay) (X/Twitter) Durations of wars by @ellis2013nz Learning Data Science: Why a High R^2 Can Be Misleading 15 Years of rOpenSci, and We're Just Getting Started Entire issue available at rweekly.org/2026-W21 Supplement Resources Correlates of war data set: https://correlatesofwar.org/data-sets/cow-war/ tidymodels https://www.tidymodels.org/ Donation to rOpenSci https://ropensci.org/donate/ Upcoming rOpenSci events https://ropensci.org/events/ Software peer review https://ropensci.org/software-review/ R Pharma Hangouts recordings https://rinpharma.com/docs/hangout/recordings 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…
People in this episode
Host: Eric Nantz
Topics covered
- statistical techniques
- war duration prediction
- classical model benchmarking
- open science
- data science
- R programming
Keywords
- war duration
- statistical modeling
- R programming
- open science
- data visualization
- rOpenSci
- tidymodels
Mentioned in this episode
Organizations: rOpenSci, tidymodels, Correlates of War, Podcastindex.org, Alby
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