Package: npROCRegression 1.0-7

Maria Xose Rodriguez-Alvarez

npROCRegression: Kernel-Based Nonparametric ROC Regression Modelling

Implements several nonparametric regression approaches for the inclusion of covariate information on the receiver operating characteristic (ROC) framework.

Authors:Maria Xose Rodriguez-Alvarez [aut, cre], Javier Roca-Pardinas [aut]

npROCRegression_1.0-7.tar.gz
npROCRegression_1.0-7.tar.gz(r-4.7-arm64)npROCRegression_1.0-7.tar.gz(r-4.7-x86_64)npROCRegression_1.0-7.tar.gz(r-4.6-arm64)npROCRegression_1.0-7.tar.gz(r-4.6-x86_64)
npROCRegression_1.0-7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
npROCRegression/json (API)
NEWS

# Install 'npROCRegression' in R:
install.packages('npROCRegression', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • endosim - Simulated endocrine data.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

fortran

2.51 score 1 stars 16 scripts 261 downloads 2 mentions 11 exports 1 dependencies

Last updated from:a5ff64cac1. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK158
linux-devel-x86_64OK114
source / vignettesOK252
linux-release-arm64OK102
linux-release-x86_64OK137
wasm-releaseOK99

Exports:controlDNPROCregcontrolINPROCregDNPROCregDNPROCregDataINPROCregplot.DNPROCregplot.INPROCregprint.DNPROCregprint.INPROCregsummary.DNPROCregsummary.INPROCreg

Dependencies:lattice

The npROCRegression package

Maria Xose Rodriguez Alvarez and Javier Roca-Padinas

Rendered fromnpROCRegression.Rmdusingknitr::rmarkdownon Jun 16 2026.

Last update: 2016-11-16
Started: 2016-06-19