# evaluateROCR

From dismo v1.3-3
by Robert Hijmans

##### Model testing with the ROCR package

Preparing data for model testing with the ROCR package.

- Keywords
- spatial

##### Usage

`evaluateROCR(model, p, a, x)`

##### Arguments

- 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 pointsOr, 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

##### Value

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

*Documentation reproduced from package dismo, version 1.3-3, License: GPL (>= 3)*

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