# Performance Assessment and Comparison for Survival Analysis

## Documentation for package ‘survcomp’ version 1.8.1

- DESCRIPTION file.
- Overview of user guides and package vignettes; browse directory.

## Help Pages

survcomp-package | Performance Assessment and Comparison for Survival Analysis
breastCancerData | Sample data containing six datasets for gene expression, annotations and clinical data.
censor.time | Function to artificially censor survival data
cindex.comp | Function to compare two concordance indices
cindex.comp.meta | Function to compare two concordance indices
combine.est | Function to combine estimates
combine.test | Function to combine probabilities
concordance.index | Function to compute the concordance index for survival or binary class prediction
cvpl | Function to compute the CVPL
D.index | Function to compute the D index
dindex.comp | Function to compare two D indices
dindex.comp.meta | Function to compare two D indices
fisherz | Function to compute Fisher z transformation
forestplot.surv | Forest plots enables to display performance estimates of survival models
getsurv2 | Function to retrieve the survival probabilities at a specific point in time
hazard.ratio | Function to estimate the hazard ratio through Cox regression
hr.comp | Function to statistically compare two hazard ratios
hr.comp.meta | Function to compare two concordance indices
hr.comp2 | Function to statistically compare two hazard ratios (alternative interface)
iauc.comp | Function to compare two IAUCs through time-dependent ROC curves
ibsc.comp | Function to compare two IBSCs
km.coxph.plot | Function to plot several Kaplan-Meier survival curves
logpl | Function to compute the log partial likelihood of a Cox model
mainz7g | Subset of MAINZ dataset containing gene expression, annotations and clinical data.
metaplot.surv | Meta-analysis plot (forest plot)
mrmr.cindex | Function to compute the concordance index for survival or binary class prediction
mrmr.cindex.ensemble | Function to compute the concordance index for survival or binary class prediction
nki7g | Subset of NKI dataset containing gene expression, annotations and clinical data.
no.at.risk | Function to compute the number of individuals at risk
sbrier.score2proba | Function to compute the BSCs from a risk score, for all the times of event occurrence
score2proba | Function to compute the survival probabilities from a risk score
survcomp | Performance Assessment and Comparison for Survival Analysis
td.sens.spec | Function to compute sensitivity and specificity for a binary classification of survival data
tdrocc | Function to compute time-dependent ROC curves
test.hetero.est | Function to test the heterogeneity of set of probabilities
test.hetero.test | Function to test the heterogeneity of set of probabilities
transbig7g | Subset of the TRANSBIG dataset containing gene expression, annotations and clinical data.
unt7g | Subset of UNT dataset containing gene expression, annotations and clinical data.
upp7g | Subset of UPP dataset containing gene expression, annotations and clinical data.
vdx7g | Subset of VDX dataset containing gene expression, annotations and clinical data.