DecisionCurve: Calculate and Plot Decision Curves
Version 1.3

Decision curves are a useful tool to evaluate the population impact of adopting a risk prediction instrument into clinical practice. Given one or more instruments (risk models) that predict the probability of a binary outcome, this package calculates and plots decision curves, which display estimates of the standardized net benefit by the probability threshold used to categorize observations as 'high risk.' Curves can be estimated using data from an observational cohort, or from case-control studies when an estimate of the population outcome prevalence is available. Confidence intervals calculated using the bootstrap can be displayed and a wrapper function to calculate cross-validated curves using k-fold cross-validation is also provided.

AuthorMarshall Brown
Date of publication2016-08-12 08:58:01
MaintainerMarshall Brown <mdbrown@fredhutch.org>
LicenseGPL-2
Version1.3
URL http://mdbrown.github.io/DecisionCurve/ https://github.com/mdbrown/DecisionCurve
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("DecisionCurve")

Getting started

Package overview
README.md

Popular man pages

Add_CostBenefit_Axis: Add cost benefit ratio axis to a decision curve plot.
dcaData: Simulated dataset for package 'DecisionCurve'
dcaData_cc: Simulated dataset for package 'DecisionCurve'
DecisionCurve-package: Generate and plot decision curves.
plot_clinical_impact: Plot the clinical impact curve from a DecisionCurve object.
plot_decision_curve: Plot the net benefit curves from a decision_curve object or...
summary.decision_curve: Displays a useful description of a decision_curve object
See all...

All man pages Function index File listing

Man pages

Add_CostBenefit_Axis: Add cost benefit ratio axis to a decision curve plot.
cv_decision_curve: Calculate cross-validated decision curves
dcaData: Simulated dataset for package 'DecisionCurve'
dcaData_cc: Simulated dataset for package 'DecisionCurve'
decision_curve: Calculate decision curves
DecisionCurve-package: Generate and plot decision curves.
plot_clinical_impact: Plot the clinical impact curve from a DecisionCurve object.
plot_decision_curve: Plot the net benefit curves from a decision_curve object or...
plot_roc_components: Plot the components of a ROC curve by the high risk...
summary.decision_curve: Displays a useful description of a decision_curve object

Functions

Files

inst
inst/notes
inst/notes/tutorial.html
inst/notes/tutorial.Rmd
NAMESPACE
NEWS
data
data/dcaData.rda
data/dcaData_cc.rda
R
R/plot_functions_sub.R
R/summary.decision_curve.R
R/DecisionCurve.R
R/cv_decision_curve.R
R/data.R
R/plot_functions_main.R
R/Add_CostBenefit_Axis.R
R/decision_curve.R
R/subroutines.R
README.md
MD5
DESCRIPTION
man
man/Add_CostBenefit_Axis.Rd
man/summary.decision_curve.Rd
man/plot_decision_curve.Rd
man/DecisionCurve-package.Rd
man/plot_clinical_impact.Rd
man/plot_roc_components.Rd
man/dcaData.Rd
man/decision_curve.Rd
man/cv_decision_curve.Rd
man/dcaData_cc.Rd
DecisionCurve documentation built on May 19, 2017, 10:23 p.m.

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