roc.ppmnet: ROC curves for a 'ppmnet' object

In jeffdaniel/ppmnet: Regularized Spatial Point Process Models

Description

Computes receiver operating characteristic (ROC) curves for a regularization path of point process models.

Usage

## S3 method for class 'ppmnet'
roc(X, data, s = NULL, ...)

Arguments

X	A fitted ppmnet object.
data	A list of pixel images (of class imlist) containing the spatial covariates used to fit the model.
s	Value(s) of the penalty tuning parameter at which the ROC curve is to be calculated. Default is the entire sequence used to fit the regularization path.
...	Additional arguments passed to predict.ppmnet.

Examples

Qp <- quadscheme(Xp)
fitp <- ppmnet(Qp, exdata, nlambda = 10)
roc(fitp, exdata)

jeffdaniel/ppmnet documentation built on Aug. 14, 2019, 6:31 a.m.