Plots the fitted values from a gbm object returned by any of the model fitting options. This can give a more reliable guide to the shape of the fitted surface than can be obtained from the individual functions, particularly when predictor variables are correlated and/or samples are unevenly distributed in environmental space. Allows masking out of absences to enable focus on sites with high predicted values.
gbm.plot.fits(gbm.object, v=0, mask.presence=FALSE, use.factor=FALSE )
a gbm object
variable numbers to be plotted (if 0 then all are plotted)
Logical. If TRUE, the function only plots fitted values for presences
Logical. If TRUE, forces to use quicker printing box and whisker plot
John R. Leathwick and Jane Elith
Elith, J., J.R. Leathwick and T. Hastie, 2009. A working guide to boosted regression trees. Journal of Animal Ecology 77: 802-81