Hi Listers, I am after some help with finding/creating a splitting criterion to deal with zero-inflated count data in a regression tree analysis. The rpart function only has method='poisson' which doesn't deal with excess zeroes.
I found a paper by Lee and Jin (2006) Decision tree approaches for zero-inflated count data. Journal of Applied Statistics Vol. 33 (8) <http://www.tandfonline.com/loi/cjas20?open=33&repitition=0#vol_33> <http://www.tandfonline.com/toc/cjas20/33/8>:853-865, which offers a solution using zero-inflated Poisson likelihood but I would not know how to code this into rpart. Any help/advice appreciated. Andy. -- Andrew Halford Ph.D Research Scientist (Kimberley Marine Parks) Dept. Parks and Wildlife Western Australia Ph: +61 8 9219 9795 Mobile: +61 (0) 468 419 473 -- Andrew Halford Ph.D Research Scientist (Kimberley Marine Parks) Dept. Parks and Wildlife Western Australia Ph: +61 8 9219 9795 Mobile: +61 (0) 468 419 473 [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
