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ggDCA  

Calculate and Plot Decision Curve
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ggDCA", "1.1")



Attach the package and use:
library("ggDCA")
Maintained by
Jing Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-08-24
Latest Update: 2023-04-24
Description:
Diagnostic and prognostic models are typically evaluated with measures of accuracy that do not address clinical consequences. Decision-analytic techniques allow assessment of clinical outcomes but often require collection of additional information and may be cumbersome to apply to models that yield a continuous result. Decision curve analysis is a suitable method for evaluating alternative diagnostic and prognostic strategies that has advantages over other commonly used measures and techniques. This method was described by Andrew J. Vickers (2006) .
How to cite:
Jing Zhang (2020). ggDCA: Calculate and Plot Decision Curve. R package version 1.1, https://cran.r-project.org/web/packages/ggDCA
Previous versions and publish date:
1.0 (2020-08-24 17:50), 1.1 (2020-09-06 18:10)
Other packages that cited ggDCA R package
View ggDCA citation profile
Other R packages that ggDCA depends, imports, suggests or enhances
Functions, R codes and Examples using the ggDCA R package
Some associated functions: AUDC . LIRI . dca . ggplot . rFP.p100 . range . 
Some associated R codes: AUDC.R . LIRI.R . coxph2cph.R . dca.R . dca.coxph.R . dca.cph.R . dca.glm.R . dca.lrm.R . ggplot.rFP.p100.R . ggplot_dca.cph.R . ggplot_dca.lrm.R . model.xy.R . rFP.p100.R . range.R . to.cph.R . to.lrm.R .  Full ggDCA package functions and examples
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