Description Usage Arguments Value
This function performs n-fold cross-validation of a GDM model.
It requires a combined site pair ("spData" format) dataset, as well as the definition of the number of folds to be used in the cross-validation, the performance measure to be used and the optional use of geographical distance as predictor variable in the GDM.
For more details relating to "spData" data format, check gdm
package.
1 | gdm.cv(spData, nfolds = 10, performance = "rmse", geo = F)
|
spData |
Combined site pair dataset ("spData" format). |
nfolds |
Number of folds for cross-validation. Default is 10 folds. If number of folds equals number of samples then leave-one-out cross-validation is performed. |
performance |
Performance metric to be used for validation: |
geo |
Optional use of geographical distance as predictor in GDM model. set to |
Returns model performance value.
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