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Anyone looking to apply and compare frequentist and bayesian methods within a unified GUI (which is essentially an elegant wrapper to R and selected/custom stat
by dleeftink 3y ago
Anyone looking to apply and compare frequentist and bayesian methods within a unified GUI (which is essentially an elegant wrapper to R and selected/custom statistical packages), should check out JASP developed by the University of Amsterdam [0]. It's free to use, and the graphs + captions generated during each step are publication quality right out of the box.
Using it truly feels like a 'fresh way' to do statistics. Its main website provides ample use cases, guides and tutorials, and I often return to the blog for the well documented deepdives into how traditional frequentist methods and their bayesian counterparts compare (the animated explainers are especially helpful, and I appreciate the devs reflecting on each release and future directions).
[0]: https://jasp-stats.org/ https://jasp-stats.org/
- NeutralForest 3y agothere was an interview of one of the JASP (creator or maintainer, can't remember) in the "Learn Bayesian Stats" podcast; it was very interesting.
- rdhyee 3y agoI think the referenced episode is https://learnbayesstats.com/episode/61-why-we-still-use-non-bayesian-methods-ej-wagenmakers/ https://learnbayesstats.com/episode/61-why-we-still-use-non-... Thanks for pointing it out!
- dleeftink 3y agoTo me, it's academic software done right, both in terms of accessibility and maintenance. I'd love to hear more about their governance and funding structure and how this might be applied elsewhere, and learn about academic software of similar grade and utility.
- mindcrime 3y agoEven better than just being "free to use" it's F/OSS (under the AGPL): https://github.com/jasp-stats/jasp-desktop https://github.com/jasp-stats/jasp-desktop
- 3abiton 3y agoHow does this compare to other stat libraries?
- dleeftink 3y agoI'd say in the free to use/FOSS category there are couple of contenders here: R Studio & co, Jamovi, Stenci.la, KNIME, PSPP and Quarto. R Studio for the uncompromised R language integration. Jamovi for the clean interface and simple to use analyses and workflows. Stenci.la for the multiple language notebook paradigm. KNIME for the node based interface and workflow productionisation. PSPP for the 'same but different' SPSS interface and feature set. Quarto for the 'analysis as publication' approach, reactive notebooks and custom integrations. Myself I often opt for BigQuery + Javascript stat libraries, which is free insofar you remain within the sandbox mode.
- deleted 3y ago[deleted]