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Performance Assessment and Comparison for Survival Analysis

Bioconductor version: Release (3.18)

Assessment and Comparison for Performance of Risk Prediction (Survival) Models.

Author: Benjamin Haibe-Kains [aut, cre], Markus Schroeder [aut], Catharina Olsen [aut], Christos Sotiriou [aut], Gianluca Bontempi [aut], John Quackenbush [aut], Samuel Branders [aut], Zhaleh Safikhani [aut]

Maintainer: Benjamin Haibe-Kains <benjamin.haibe.kains at utoronto.ca>

Citation (from within R, enter citation("survcomp")):


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

SurvComp: a package for performance assessment and comparison for survival analysis PDF R Script
Reference Manual PDF


biocViews DifferentialExpression, GeneExpression, Software, Visualization
Version 1.52.0
In Bioconductor since BioC 2.8 (R-2.13) (13 years)
License Artistic-2.0
Depends survival, prodlim, R (>= 3.4)
Imports ipred, SuppDists, KernSmooth, survivalROC, bootstrap, grid, rmeta, stats, graphics
System Requirements
URL http://www.pmgenomics.ca/bhklab/
See More
Suggests Hmisc, clinfun, xtable, Biobase, BiocManager
Linking To
Depends On Me genefu
Imports Me metaseqR2, PDATK
Suggests Me breastCancerMAINZ, breastCancerNKI, breastCancerTRANSBIG, breastCancerUNT, breastCancerUPP, breastCancerVDX, glmSparseNet, GSgalgoR
Links To Me
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package survcomp_1.52.0.tar.gz
Windows Binary survcomp_1.52.0.zip
macOS Binary (x86_64) survcomp_1.52.0.tgz
macOS Binary (arm64) survcomp_1.52.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/survcomp
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/survcomp
Bioc Package Browser https://code.bioconductor.org/browse/survcomp/
Package Short Url https://bioconductor.org/packages/survcomp/
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