ggDCA: Calculate and Plot Decision Curve
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) <doi:10.1177/0272989X06295361>.
| Version: |
1.1 |
| Depends: |
R (≥ 2.10), ggplot2 |
| Imports: |
do, set, rms (≥ 6.0.1), base.rms, survival (≥ 3.1-12) |
| Published: |
2020-09-06 |
| Author: |
Jing Zhang [aut, cre],
Zhi Jin [aut] |
| Maintainer: |
Jing Zhang <zj391120 at 163.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
ggDCA results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=ggDCA
to link to this page.