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dcurves  

Decision Curve Analysis for Model Evaluation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("dcurves", "0.4.0")



Attach the package and use:
library("dcurves")
Maintained by
Daniel D. Sjoberg
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-20
Latest Update: 2022-12-23
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 may be cumbersome to apply to models that yield a continuous result. 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. See the following references for details on the methods: Vickers (2006) , Vickers (2008) , and Pfeiffer (2020) .
How to cite:
Daniel D. Sjoberg (2021). dcurves: Decision Curve Analysis for Model Evaluation. R package version 0.4.0, https://cran.r-project.org/web/packages/dcurves
Previous versions and publish date:
0.2.0 (2021-07-20 09:30), 0.3.0 (2022-05-26 00:40)
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