modelAverage: Create ensemble predictions.
In robboyd/soaR:
modelAverage R Documentation
Create ensemble predictions.
Description
AUC-weighted average predictions from the models fitted for a species using fitSDM.
Usage
modelAverage(inPath, outPath, skillDat, species)
Arguments
inPath
String. Location of the fitSDM outputs.
outPath
String. Where to store ensemble models.
species
String. Species name.
skillDat.
String. getSkill outputs for the chosen group.
Value
A raster layer with the AUC-weighted average probabilities of occurrence predicted by models.
robboyd/soaR documentation built on April 24, 2022, 9:44 a.m.
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| modelAverage | R Documentation |
Create ensemble predictions.
Description
AUC-weighted average predictions from the models fitted for a species using fitSDM.
Usage
modelAverage(inPath, outPath, skillDat, species)
Arguments
inPath |
String. Location of the fitSDM outputs. |
outPath |
String. Where to store ensemble models. |
species |
String. Species name. |
skillDat. |
String. getSkill outputs for the chosen group. |
Value
A raster layer with the AUC-weighted average probabilities of occurrence predicted by models.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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