Package: ROCSI 0.1.0
Xin Huang
ROCSI: Receiver Operating Characteristic Based Signature Identification
Optimal linear combination predictive signatures for maximizing the area between two Receiver Operating Characteristic (ROC) curves (treatment vs. control).
Authors:
ROCSI_0.1.0.tar.gz
ROCSI_0.1.0.tar.gz(r-4.7-any)ROCSI_0.1.0.tar.gz(r-4.6-any)
ROCSI_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ROCSI/json (API)
| # Install 'ROCSI' in R: |
| install.packages('ROCSI', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:eb1d03b580. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 108 | ||
| source / vignettes | OK | 171 | ||
| linux-release-x86_64 | OK | 113 | ||
| wasm-release | OK | 103 |
Dependencies:codetoolsforeachglmnetiteratorslatticeMASSMatrixRcppRcppEigenshapesurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| AUC | AUC |
| beta2theta | beta2theta |
| C.index | C.index |
| cvfolds0 | cvfolds0 |
| data.gen | data.gen |
| grad.sub | grad.sub |
| gradsqr | gradsqr |
| hessAUC | hessAUC |
| hessAUC.sub | hessAUC.sub |
| HIC | HIC |
| MClogit | MClogit |
| pair.diff | pair.diff |
| pair.diff.surv | pair.diff.surv |
| ROCSI | ROCSI |
| theta2beta | theta2beta |