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roccv
View on CRAN: Click
here
Download and install roccv package within the R console
Install from CRAN:
install.packages("roccv")
Install from Github:
library("remotes")
install_github("cran/roccv")
Install by package version:
library("remotes")
install_version("roccv", "1.2")
Attach the package and use:
library("roccv")
Maintained by
Ben Sherwood
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-06-29
Latest Update: 2019-05-10
Description:
Cross validate large genetic data while specifying clinical variables that should always be in the model using the function cv(). An ROC plot from the cross validation data with AUC can be obtained using rocplot(), which also can be used to compare different models. Framework was built to handle genetic data, but works for any data.
How to cite:
Ben Sherwood (2016). roccv: ROC for Cross Validation Results. R package version 1.2, https://cran.r-project.org/web/packages/roccv. Accessed 21 Dec. 2024.
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Complete documentation for roccv
Functions, R codes and Examples using
the roccv R package
Some associated functions: cv . fit_pred_fold . randomly_assign . roccv . rocplot .
Some associated R codes: mainFunctions.R . Full roccv package functions and examples
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