Together with Revolution Analytics, I will be offering two more one-day classes on the Rcpp package for seamless integration of R and C++.The format will follow the workshop Romain and I gave during the tutorial day preceding this year's R/Financ...

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Together with Revolution Analytics, I will be offering two more one-day classes on the Rcpp package for seamless integration of R and C++.The format will follow the workshop Romain and I gave during the tutorial day preceding this year's R/Financ...

We start yet another series of post — challenge alerts. This series is intended to share news about machine learning or data mining challenges which may be interesting to the members of our community, possibly with some brief introduction to the problem. So if you hear about some contest, notify us on Skewed distribution. Today

Sooner on later, every useR will manage to exhaust R’s built-in capabilities and land on CRAN looking for his dreamed needle in a haystack of 3k+ contributed packages. Probably most of you already know stuff like Task Views or rseek which make finding something relevant a bit easier than digging the full list or googling, however all methods

As a matter of convention, we usually run 3 or 4 chains in JAGS. By default, this gives rise to chains that draw samples from 3 or 4 distinct pseudorandom number generators. I didn’t go and check whether it does things 111,222,333 or 123,123,123, but in any event the “parallel chains” in JAGS are samples