seananderson.ca
Seananderson. I develop a number of R packages. For example, with collaborators, I’m developing packages to fit predictive process...
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Sean C. Anderson [1] About[2] / CV / Blog[3] / Code[4] / Figures[5] / Photos[6] ...
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I develop a number of R packages. For example, with collaborators, I’m developing packages to fit predictive process spatiotemporal GLMMs (generalized linear mixed effect models) (sdmTMB and glmmfield...
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C++ with R on OS X Mavericks - Steps to get C++ and Rcpp working on Mavericks - seananderson.ca
Sean C. Anderson C++ with R on OS X Mavericks Incorporating bits of C++ into your R coding through the Rcpp package is a great way to remove bottlenecks in your code and dramatically improve speed —...
Seananderson.ca news digest
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5 years
Postdoctoral Fellow Opportunity
I am seeking a Postdoctoral Fellow at the Department of Fisheries and Oceans (DFO)Pacific Biological Station (PBS) to leada research project on British Columbia groundfish range shifts in response tolocal climate velocities.Key collaborators include...
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9 years
I’d heard whispers of this new R package TMB and finally spent some time playing with it in the last few days. It’s incredible — fast like ADMB (faster?), has built-in parallel functionality, has other advanced statistical niceties, and it’s built around...
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9 years
The dplyr R package is awesome. Pipes from the magrittr R package are awesome. Put the two together and you have one of the most exciting things to happen to R in a long time.
dplyr is Hadley Wickham’s re-imagined plyr package (with underlying C++ secret sauce co-written by Romain Francois). plyr 2.0 if you will. It does less than plyr, but what it does it does more elegantly and much more quickly.... -
9 years
I’ve encountered a number of people wondering about centering and scaling predictors in the context of model averaging. Here, centering refers to subtracting the mean and scaling refers to dividing by some measure of variability (usually one or two standard...
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Created: | February 13, 2004 |
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