roc: roc

In SimonDedman/gbm.auto: Automated Boosted Regression Tree Modelling and Mapping Suite

roc

Description

Internal use only. Adapted from Ferrier, Pearce and Watson's code, by J.Elith , see: Hanley, J.A. & McNeil, B.J. (1982) The meaning and use of the area under a Receiver Operating Characteristic (ROC) curve. Radiology, 143, 29-36. Also Pearce, J. & Ferrier, S. (2000) Evaluating the predictive performance of habitat models developed using logistic regression. Ecological Modelling, 133, 225-245. This is the non-parametric calculation for area under the ROC curve, using the fact that a MannWhitney U statistic is closely related to the area. In dismo, this is used in the gbm routines, but not elsewhere (see evaluate).

Usage

roc(obsdat, preddat)

Arguments

obsdat	Observed data.
preddat	Predicted data.

Value

roc & calibration stats internally within gbm runs e.g. in gbm.auto.

Author(s)

Simon Dedman, [e-mail]

Examples

roc(obsdat = rbinom(100,size = 1, prob = 0.5), preddat = runif(100))

SimonDedman/gbm.auto documentation built on Oct. 9, 2024, 8:57 p.m.