Anke,
mgcv:predict.gam certainly didn't produce `something like a
negative log-likelihood of occurrence', but is it possible that one of
your maps is on the probability scale and the other on the linear
predictor scale?
If you used predict.glm(model1,type="response"), but
predict.gam(model2
On Thu, 2009-06-18 at 13:23 -0600, Anke Konrad wrote:
> Hi all,
>
> I am currently trying to compare different plant occurrence prediction
> maps generated in R and exported into GRASS. One of these maps was
> generated from a glm fitted to some data, and subsequently applying this
> glm model
On Jun 18, 2009, at 3:23 PM, Anke Konrad wrote:
Hi all,
I am currently trying to compare different plant occurrence
prediction maps generated in R and exported into GRASS. One of these
maps was generated from a glm fitted to some data, and subsequently
applying this glm model to a wider
Hi all,
I am currently trying to compare different plant occurrence prediction
maps generated in R and exported into GRASS. One of these maps was
generated from a glm fitted to some data, and subsequently applying this
glm model to a wider region using predict.glm. The outcome here was a
prob
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