Rdocumentation
powered by
Learn R Programming
npROCRegression (version 1.0-7)
Kernel-Based Nonparametric ROC Regression Modelling
Description
Implements several nonparametric regression approaches for the inclusion of covariate information on the receiver operating characteristic (ROC) framework.
Copy Link
Link to current version
Version
Version
1.0-7
1.0-6
1.0-5
1.0-4
1.0-3
1.0-2
Install
install.packages('npROCRegression')
Monthly Downloads
249
Version
1.0-7
License
GPL
Maintainer
Maria Xose Rodriguez-Alvarez mxrodriguez@uvigo.es
Last Published
August 31st, 2023
Functions in npROCRegression (1.0-7)
Search all functions
DNPROCreg
Direct nonparametric ROC regression modelling
plot.DNPROCreg
Default DNPROCreg plotting
npROCRegression-package
Kernel-Based Nonparametric ROC Regression Modelling
controlINPROCreg
Function used to set several parameters controlling fitting process.
DNPROCregData
Selects an adequate set of points from a data set for obtaining predictions or plots.
summary.INPROCreg
Summary method for INPROCreg objects.
endosim
Simulated endocrine data.
plot.INPROCreg
Default INPROCreg plotting
print.INPROCreg
Print method for INPROCreg objects
INPROCreg
Induced nonparametric ROC regression modelling
controlDNPROCreg
Function used to set several parameters controlling the ROC regression fitting process
summary.DNPROCreg
Summary method for DNPROCreg objects.
print.DNPROCreg
Print method for DNPROCreg objects