CRAN/E | dcurves

dcurves

Decision Curve Analysis for Model Evaluation

Installation

About

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) doi:10.1177/0272989X06295361, Vickers (2008) doi:10.1186/1472-6947-8-53, and Pfeiffer (2020) doi:10.1002/bimj.201800240.

github.com/ddsjoberg/dcurves
www.danieldsjoberg.com/dcurves/
Bug report File report

Key Metrics

Version 0.4.0
R ≥ 3.5
Published 2022-12-23 462 days ago
Needs compilation? no
License MIT
License File
CRAN checks dcurves results
Language en-US

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Maintainer

Maintainer

Daniel D. Sjoberg

danield.sjoberg@gmail.com

Authors

Daniel D. Sjoberg

aut / cre / cph

Emily Vertosick

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

Decision Curve Analysis

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

dcurves archive

Depends

R ≥ 3.5

Imports

broom ≥ 0.7.10
dplyr ≥ 1.0.5
ggplot2 ≥ 3.3.3
glue ≥ 1.4.2
purrr ≥ 0.3.4
rlang ≥ 0.4.10
scales ≥1.1.1
survival
tibble ≥ 3.1.0

Suggests

covr ≥ 3.5.1
gtsummary ≥ 1.4.0
knitr ≥ 1.32
rmarkdown ≥ 2.7
spelling ≥ 2.2
testthat ≥ 3.0.2
tidyr ≥ 1.1.3