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:Xin Huang [aut, cre, cph]

ROCSI_0.1.0.tar.gz
ROCSI_0.1.0.tar.gz(r-4.5-noble)ROCSI_0.1.0.tar.gz(r-4.4-noble)
ROCSI_0.1.0.tgz(r-4.4-emscripten)ROCSI_0.1.0.tgz(r-4.3-emscripten)
ROCSI.pdf |ROCSI.html
ROCSI/json (API)

# Install 'ROCSI' in R:
install.packages('ROCSI', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 180 downloads 3 exports 11 dependencies

Last updated 2 years agofrom:eb1d03b580. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 04 2024
R-4.5-linuxOKDec 04 2024

Exports:data.genMClogitROCSI

Dependencies:codetoolsforeachglmnetiteratorslatticeMASSMatrixRcppRcppEigenshapesurvival

Readme and manuals

Help Manual

Help pageTopics
AUCAUC
beta2thetabeta2theta
C.indexC.index
cvfolds0cvfolds0
data.gendata.gen
grad.subgrad.sub
gradsqrgradsqr
hessAUChessAUC
hessAUC.subhessAUC.sub
HICHIC
MClogitMClogit
pair.diffpair.diff
pair.diff.survpair.diff.surv
ROCSIROCSI
theta2betatheta2beta