Package: ggscidca 0.2.8
Qiang Liu
ggscidca: Plotting Decision Curve Analysis with Coloured Bars
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. The 'ggscidca' package adds coloured bars of discriminant relevance to the traditional decision curve. Improved practicality and aesthetics. This method was described by Balachandran VP (2015) <doi:10.1016/S1470-2045(14)71116-7>.
Authors:
ggscidca_0.2.8.tar.gz
ggscidca_0.2.8.tar.gz(r-4.7-any)ggscidca_0.2.8.tar.gz(r-4.6-any)
ggscidca_0.2.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ggscidca/json (API)
| # Install 'ggscidca' in R: |
| install.packages('ggscidca', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- Breastcancer - A survival data on breast cancer.
- demo - A medical examination related data.
- df_surv - A data for competitive risk modelling.
- LIRI - A data for random forest analysis.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:8af55867fe. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 191 | ||
| source / vignettes | OK | 188 | ||
| linux-release-x86_64 | OK | 166 | ||
| wasm-release | OK | 132 |
Exports:cmprskstdcacox.tcdcadcanewcrrscidcastdcatcdca
Dependencies:classclicmprskcpp11data.tablee1071farverggplot2gluegtableisobandjsonlitekernlablabelinglatticelifecyclemagrittrMASSMatrixplyrproxyR6randomForestRColorBrewerRcppreshape2rlangS7scalesstringistringrsurvivalvctrsviridisLitewithrxgboost
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| A survival data on breast cancer. | Breastcancer |
| cmprskstdca | cmprskstdca |
| cox.tcdca | cox.tcdca |
| dca | dca |
| A medical examination related data. | demo |
| A data for competitive risk modelling. | df_surv |
| A data for random forest analysis. | LIRI |
| netdata | netdata |
| netdata.coxph | netdata.coxph |
| netdata.crr | netdata.crr |
| netdata.glm | netdata.glm |
| netdata.ksvm | netdata.ksvm |
| netdata.randomFores | netdata.randomFores netdata.randomForest |
| netdata.scisvycoxph | netdata.scisvycoxph |
| netdata.scixgboot | netdata.scixgboot |
| netdata.svm | netdata.svm |
| newcrr | newcrr |
| scidca | scidca |
| scidca.coxph | scidca.coxph |
| scidca.crr | scidca.crr |
| scidca.glm | scidca.glm |
| scidca.ksvm | scidca.ksvm |
| scidca.randomForest | scidca.randomForest |
| scidca.scisvycoxph | scidca.scisvycoxph |
| scidca.scixgboot | scidca.scixgboot |
| scidca.svm | scidca.svm |
| stdca | stdca |
| tcdca | tcdca |