compiler and runiregGibbs (bayesm)

April 13, 2011
By

(This article was first published on [the] joint posterior distribution, and kindly contributed to R-bloggers)

So everyone’s excited about the new R 2.13 release because of the compiler package.
Apparently it is easy to get a 3x speed increase by simply compiling a function.
Doing a lot of the MCMC stuff, I am particularly excited about speed in R. I just compiled a 2000-line file with code from my latest project, but none of the functions would run faster. Apparently I need to break down things a little more and use more subfunctions.

Well, so I tried a much easier example. I took runiregGibbs from the well known bayesm packages (which is a function completely written in R) and compiled it. There’s a visible change, but it’s quite small:

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