Performance Assessment and Comparison for Survival Analysis

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Documentation for package ‘survcomp’ version 1.2.1

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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.
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.