About computing differences of two Bayesian correlation coefficients with the "correlation" function.

[JulianGaviriaL]

Dear Dominick,

First of all, thank you very much for your creating the correlation function. You guys are really filling a gap in both Psychology and Neurosciences. Well done!

I wonder whether it would be possible to compute the differences between two Bayesian corr. coefficients with the "correlation" function, from the easystats package. Something like the R-based "cocor" package for naive Pearson coefficients (frequentest approach):
https://cran.r-project.org/web/packages/cocor/index.html

I've found something posted by John K. Kruschke on this regard:
http://doingbayesiandataanalysis.blogspot.com/2017/06/bayesian-estimation-of-correlations-and.html

So, I think it would be a great feature for adding to this function. Once more, thanks for all this job, and looking forward o hear from you.

Best,

Julian.

[DominiqueMakowski]

Hi @JulianGaviriaL, thanks for your suggestion! Indeed it seems like an interesting feature to add.

1. Have a working corr diff function for frequentist correlations
2. Think about the API, maybe we could add a diff method to the cor_test() functions (which is the basis of correlation()), so that one can run cor_test(x, y) - cor_test(z, g)
3. Extend to Bayes
4. Think about how to expand the API with correlation()

[DominiqueMakowski]

https://twitter.com/Kane_WMC_Lab/status/1283765115150639106?s=20