Package: dcurves 0.5.0
Daniel D. Sjoberg
dcurves: Decision Curve Analysis for Model Evaluation
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>.
Authors:
dcurves_0.5.0.tar.gz
dcurves_0.5.0.tar.gz(r-4.5-noble)dcurves_0.5.0.tar.gz(r-4.4-noble)
dcurves_0.5.0.tgz(r-4.4-emscripten)dcurves_0.5.0.tgz(r-4.3-emscripten)
dcurves.pdf |dcurves.html✨
dcurves/json (API)
NEWS
| # Install 'dcurves' in R: |
| install.packages('dcurves', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ddsjoberg/dcurves/issues
- df_binary - Simulated data with a binary outcome
- df_case_control - Simulated data with a case-control outcome
- df_surv - Simulated data with a survival outcome
Last updated 2 months agofrom:6d7a4ce1b0. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 23 2024 |
| R-4.5-linux | OK | Aug 23 2024 |
Exports:%>%aesas_tibblecoord_cartesiandcageom_lineggplotlabsnet_intervention_avoidedscale_x_continuousstandardized_net_benefitstat_smoothSurvtest_consequencestheme_bw
Dependencies:backportsbroomclicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Convert DCA Object to tibble | as_tibble.dca |
| Perform Decision Curve Analysis | dca |
| Simulated data with a binary outcome | df_binary |
| Simulated data with a case-control outcome | df_case_control |
| Simulated data with a survival outcome | df_surv |
| Add Net Interventions Avoided | net_intervention_avoided |
| Plot DCA Object with ggplot | plot.dca |
| Add Standardized Net Benefit | standardized_net_benefit |
| Test Consequences | test_consequences |
