[R-meta] standard error in predictive nonlinear meta-regression

Sat, Jan 20, 2018 10:08 AM

Hi Wolfgang,

Thanks for your response. 

Do you know how I could apply this model to predict effect size on a grid (i.e. on a per pixel basis) for the entire world, with known MAP (precipitation) and MAT (temperature) per pixel coming from maps, and a fix COdif=300?

Something like:

ECMrelSE <- overlay(s[["temperature"]], s[["precipitation"]],  # raster maps for MAT and MAP, respectively
                    fun=predict(ECMmeta, newmods = c(MAP, MAT, 300, MAT*300)))

The above doesn?t work.

Thanks
C?sar

Thread (4 messages)

Cesar Terrer Moreno standard error in predictive nonlinear meta-regression Jan 19 Viechtbauer Wolfgang (STAT) standard error in predictive nonlinear meta-regression Jan 20 Cesar Terrer Moreno standard error in predictive nonlinear meta-regression Jan 20 Viechtbauer Wolfgang (STAT) standard error in predictive nonlinear meta-regression Jan 20