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evaluateROCR

Model testing with the ROCR package

Preparing data for model testing with the ROCR package.

evaluateROCR(model, p, a, x)

`model`	any fitted model, including objects inheriting from 'DistModel'
`p`	presence points (x and y coordinates or SpatialPoints* object). Or, if `x` is missing, values at presence points Or, a matrix with values to compute predictions for
`a`	absence points (x and y coordinates or SpatialPoints* object). Or, if `x` is missing, values at presence points. Or, a matrix with values to compute predictions for
`x`	optional. predictor variables, if present, `p` and `a` are considered

An object of class "prediction" (defined in the ROCR package)

Robert J. Hijmans

Species Distribution Modeling

v1.3-3

GPL (>= 3)

Authors

Robert J. Hijmans, Steven Phillips, John Leathwick and Jane Elith

Initial release

2020-11-16