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ggDCA
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]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-08-24
Latest Update:
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. Accessed 05 Jun. 2026.
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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