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There are great tools that interface R with BUGS that may be worth checking out. I would highly recommend getting this for the shelf: http://www.amazon.com/Ana

There are great tools that interface R with BUGS that may be worth checking out. I would highly recommend getting this for the shelf: http://www.amazon.com/Analysis-Regression-Multilevel-Hierarchical-Models/dp/052168689X http://www.amazon.com/Analysis-Regression-Multilevel-Hierarc... It's one of the most readable books on data analysis I've come across and does a great job presenting both frequentist and Bayesian techniques with tons of R sample code. There are a lot of advantages and nice things in Python, but I do think folks tend to toss out R a bit too casually. Each tool has areas they excel in. I don't even do particularly complex analysis, but have run into areas where Python is woefully lacking in fairly common (social science) models.

RA_Fisher 13y ago
Thanks! I'm planning on digging into Cam Davidson-Pilon's Bayesian Methods for Hackers soon:https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for- https://github.com/CamDavidsonPilon/Probabilistic-Programmin... Thanks for the link to the book. I could see it being really helpful to me to have frequentist examples alongside Bayesian examples. I'm hoping to learn Python so I have both tools. R is so domain-specific that I doubt I'll ever completely stop using it in my career. Who knows, though!?