search

easystats / bayestestR

:ghost: Utilities for analyzing Bayesian models and posterior distributions
https://easystats.github.io/bayestestR/
GNU General Public License v3.0
575 stars 55 forks source link

turn the Bayesian vignette trilogy into a JOSE paper #439

Open IndrajeetPatil opened 3 years ago

IndrajeetPatil commented 3 years ago

https://jose.theoj.org/

Reminder for self, once this is published, just provide citation for the paper and redirect readers to the article webpage for the following vignettes:

P.S. Another option for publication outlet: https://openresearchsoftware.metajnl.com/about/

bwiernik commented 3 years ago

This sounds like a great idea. I can add a bit of a frequentist/fiducial/error-statistical lens to it too

IndrajeetPatil commented 2 years ago

@humanfactors Hi Michael! 👋

Will you be interested in working on this with us? Given that the vignettes are already there, it's just a matter of stitching them together to create a coherent tutorial paper.

WDYT? ☺️

humanfactors commented 2 years ago

Hi @IndrajeetPatil , I certainly am interested in providing contributions to this paper! Thank you kindly for the invitation. 😊

There will naturally be some challenge in terms of stitching the sections together to ensure consistency, and I hope this is something I can contribute to in this regard.

I'm curious as to what scope we are aiming for, as I'm not deeply familiar with JOSE. Is this borderline a tutorial-style paper (similar to the posts I assume)? I ask this because I do wonder how much more detail may or may not be needed regarding the mechanics of Bayesian analysis and sampling etc.

In any case, please keep me updated how I can best contribute and look forward to further discussions!

IndrajeetPatil commented 2 years ago

Thanks for your response, and I am glad to know that you will be interested in contributing to this!

As for the scope, we want this to be a beginner-friendly tutorial on how to do Bayesian analysis, with the keys concepts illustrated using the {bayestestR} package functionality. Does that make sense (cc @DominiqueMakowski)?

For more about JOSE, see: https://jose.theoj.org/about

I had already set up a skeleton here, which can be a good starting point. Needless to say, all author details there are placeholders, and we can revisit this later :)