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RBPcurve  

The Residual-Based Predictiveness Curve
View on CRAN: Click here


Download and install RBPcurve package within the R console
Install from CRAN:
install.packages("RBPcurve")

Install from Github:
library("remotes")
install_github("cran/RBPcurve")

Install by package version:
library("remotes")
install_version("RBPcurve", "1.2")



Attach the package and use:
library("RBPcurve")
Maintained by
Giuseppe Casalicchio
[Scholar Profile | Author Map]
First Published: 2015-01-09
Latest Update: 2017-05-15
Description:
The RBP curve is a visual tool to assess the performance of prediction models.
How to cite:
Giuseppe Casalicchio (2015). RBPcurve: The Residual-Based Predictiveness Curve. R package version 1.2, https://cran.r-project.org/web/packages/RBPcurve. Accessed 16 Apr. 2025.
Previous versions and publish date:
1.0-20 (2015-01-09 21:57), 1.0-33 (2015-11-23 13:09), 1.1 (2017-01-09 15:16), 1.2 (2017-05-15 22:11)
Other packages that cited RBPcurve R package
View RBPcurve citation profile
Other R packages that RBPcurve depends, imports, suggests or enhances
Complete documentation for RBPcurve
Functions, R codes and Examples using the RBPcurve R package
Some associated functions: addGoodCalib . addPEV . addPrevalence . addRates . addWellCalib . makeRBPObj . plotRBPCurve . 
Some associated R codes: addGoodCalib.R . addPEV.R . addPrevalence.R . addRates.R . addWellCalib.R . makeRBPObj.R . plotRBPCurve.R . zzz.R .  Full RBPcurve package functions and examples
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