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
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npROCRegression_1.0-7.tgz(r-4.4-emscripten)npROCRegression_1.0-7.tgz(r-4.3-emscripten)
npROCRegression.pdf |npROCRegression.html✨
npROCRegression/json (API)
NEWS

# Install 'npROCRegression' in R:
install.packages('npROCRegression', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • endosim - Simulated endocrine data.

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

2.48 score 1 stars 15 scripts 267 downloads 2 mentions 11 exports 1 dependencies

Last updated 1 years agofrom:a5ff64cac1. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 24 2024
R-4.5-linux-x86_64OKOct 24 2024

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 Oct 24 2024.

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