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ggscidca  

Plotting Decision Curve Analysis with Coloured Bars
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ggscidca", "0.2.3")



Attach the package and use:
library("ggscidca")
Maintained by
Qiang Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-03-04
Latest Update: 2024-03-14
Description:
Decision curve analysis is a method for evaluating and comparing prediction models that incorporates clinical consequences, requires only the data set on which the models are tested, and can be applied to models that have either continuous or dichotomous results. The 'ggscidca' package adds coloured bars of discriminant relevance to the traditional decision curve. Improved practicality and aesthetics. This method was described by Balachandran VP (2015) .
How to cite:
Qiang Liu (2024). ggscidca: Plotting Decision Curve Analysis with Coloured Bars. R package version 0.2.3, https://cran.r-project.org/web/packages/ggscidca. Accessed 18 Feb. 2025.
Previous versions and publish date:
0.1.0 (2024-03-04 11:50), 0.1.9 (2024-03-14 04:10), 0.2.0 (2024-03-21 04:40), 0.2.1 (2024-05-13 11:43)
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Functions, R codes and Examples using the ggscidca R package
Full ggscidca package functions and examples
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