Does anyone have good resources on actually implementing Bayesian in research?
I'm currently reading Intuitive Biostatistics by Harvey Motulsky and Bernoulli's Fallacy by Aubrey Clayton.

I know that Bayesian stats make more sense to use. I have just been trained in using P-values for so long that I'm not sure how to do it any other way. How do I determine prior probabilities? Just by feeling it out?

I do try to use CI and effect size instead of P values, but that's not enough. I don't think...

@weberam2 I hope this helps.
pypi.org/project/pymc3/

It's available with pip.
pip install pymc3

I believe there's a GitHub repo too.

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