Blog Archives

Automatic Differentiation in R

August 20, 2010
By
Automatic Differentiation in R

project outcomes —————- radx: forward automatic differentiation in R tada: templated automatic differentiation in C++ development summary ——————- During the summer of 2010, under the Google Summer of Code program, I was assigned the project of implementing an engine for Automatic Differentiation in R. The implementation involved building a fully functional system for computing numerical

Read more »

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training

datasociety

http://www.eoda.de





ODSC

ODSC

CRC R books series





Six Sigma Online Training









Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)