Package: npROCRegression 1.0-7
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:
npROCRegression_1.0-7.tar.gz
npROCRegression_1.0-7.zip(r-4.5)npROCRegression_1.0-7.zip(r-4.4)npROCRegression_1.0-7.zip(r-4.3)
npROCRegression_1.0-7.tgz(r-4.4-x86_64)npROCRegression_1.0-7.tgz(r-4.4-arm64)npROCRegression_1.0-7.tgz(r-4.3-x86_64)npROCRegression_1.0-7.tgz(r-4.3-arm64)
npROCRegression_1.0-7.tar.gz(r-4.5-noble)npROCRegression_1.0-7.tar.gz(r-4.4-noble)
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://mxrodriguezuvigo.r-universe.dev', 'https://cloud.r-project.org')) |
- endosim - Simulated endocrine data.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:a5ff64cac1. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 09 2024 |
| R-4.5-win-x86_64 | OK | Nov 09 2024 |
| R-4.5-linux-x86_64 | OK | Nov 09 2024 |
| R-4.4-win-x86_64 | OK | Nov 09 2024 |
| R-4.4-mac-x86_64 | OK | Nov 09 2024 |
| R-4.4-mac-aarch64 | OK | Nov 09 2024 |
| R-4.3-win-x86_64 | OK | Nov 09 2024 |
| R-4.3-mac-x86_64 | OK | Nov 09 2024 |
| R-4.3-mac-aarch64 | OK | Nov 09 2024 |
Exports:controlDNPROCregcontrolINPROCregDNPROCregDNPROCregDataINPROCregplot.DNPROCregplot.INPROCregprint.DNPROCregprint.INPROCregsummary.DNPROCregsummary.INPROCreg
Dependencies:lattice
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Kernel-Based Nonparametric ROC Regression Modelling | npROCRegression-package npROCRegression |
| Function used to set several parameters controlling the ROC regression fitting process | controlDNPROCreg |
| Function used to set several parameters controlling fitting process. | controlINPROCreg |
| Direct nonparametric ROC regression modelling | DNPROCreg |
| Selects an adequate set of points from a data set for obtaining predictions or plots. | DNPROCregData |
| Simulated endocrine data. | endosim |
| Induced nonparametric ROC regression modelling | INPROCreg |
| Default DNPROCreg plotting | plot.DNPROCreg |
| Default INPROCreg plotting | plot.INPROCreg |
| Print method for DNPROCreg objects | print.DNPROCreg |
| Print method for INPROCreg objects | print.INPROCreg |
| Summary method for DNPROCreg objects. | summary.DNPROCreg |
| Summary method for INPROCreg objects. | summary.INPROCreg |
