PerformanceMeasures: Output module: PerformanceMeasures

Description Usage Arguments Details Version Date submitted Data type Author(s) See Also

View source: R/PerformanceMeasures.R

Description

Calculate a suite of performance metrics on either crossvalidation, external validation data or (at your own risk) in-sample validation.

Usage

1
PerformanceMeasures(.model, .ras, threshold = NULL, print = TRUE)

Arguments

.model

Internal parameter, do not use in the workflow function. .model is list of a data frame (data) and a model object (model). .model is passed automatically in workflow, combining data from the model module(s) and process module(s), to the output module(s) and should not be passed by the user.

.ras

Internal parameter, do not use in the workflow function. .ras is a raster layer, brick or stack object. .ras is passed automatically in workflow from the covariate module(s) to the output module(s) and should not be passed by the user.

threshold

A chosen threshold value for measures that need 0/1 predictions If NULL, the proportion of occurrences in the occurrence data is used.

print

If true then the data are returned to console as well as outputted

Details

This model prints to console a number of metrics of the model fitted:

Version

1.1

Date submitted

2016-06-15

Data type

presence/absence, presence/background

Author(s)

ZOON Developers, zoonproject@gmail.com

See Also

Other output: AIC, AUC, Appify, CoefficientPlot, CovHistograms, DataSummary, Deviance, GenerateCovariateReport, InteractiveCovariateMap, InteractiveMap, InteractiveOccurrenceMap, NoOutput, PairPlot, PredictNewRasterMap, PrintMap, PrintOccurrenceMap, ROCcurve, ReliabilityPlot, ResponseCurveViz, ResponseCurve, ResponsePlot, SameTimePlaceMap, SeparatePA, SurfaceMap, VariableImportance


zoonproject/modules documentation built on May 4, 2019, 11:25 p.m.