| npROCRegression-package {npROCRegression} | R Documentation |
Kernel-Based Nonparametric ROC Regression Modelling
Description
The npROCRegression package allows the user to apply in practice the nonparametric induced and direct ROC regression approaches presented in Rodriguez-Alvarez et al. (2011a) and Rodriguez-Alvarez et al. (2011b, 2016) respectively.
Details
| Package: | npROCRegression |
| Type: | Package |
| Version: | 1.0-7 |
| Date: | 2023-08-31 |
| License: | GPL |
Author(s)
Maria Xose Rodriguez - Alvarez and Javier Roca-Pardinas
Maintainer: Maria Xose Rodriguez - Alvarez <mxrodriguez@uvigo.es>
References
Rodriguez-Alvarez, M.X., Roca-Pardinas, J. and Cadarso-Suarez, C. (2011a). ROC curve and covariates: extending induced methodology to the non-parametric framework. Statistics and Computing, 21(4), 483–499.
Rodriguez-Alvarez, M.X., Roca-Pardinas, J. and Cadarso-Suarez, C. (2011b). A new flexible direct ROC regression model - Application to the detection of cardiovascular risk factors by anthropometric measures. Computational Statistics and Data Analysis, 55(12), 3257–3270.
Rodriguez-Alvarez, M.X., Roca-Pardinas, J. and Cadarso-Suarez, C. (2016). Bootstrap-based procedures for inference in nonparametric ROC regression analysis. Technical report.