survcomp: an R/Bioconductor package for performance assessment and comparison of survival models
Bioinformatics, 2011•academic.oup.com
The survcomp package provides functions to assess and statistically compare the
performance of survival/risk prediction models. It implements state-of-the-art statistics to (i)
measure the performance of risk prediction models;(ii) combine these statistical estimates
from multiple datasets using a meta-analytical framework; and (iii) statistically compare the
performance of competitive models. Availability: The R/Bioconductor package survcomp is
provided open source under the Artistic-2.0 License with a user manual containing …
performance of survival/risk prediction models. It implements state-of-the-art statistics to (i)
measure the performance of risk prediction models;(ii) combine these statistical estimates
from multiple datasets using a meta-analytical framework; and (iii) statistically compare the
performance of competitive models. Availability: The R/Bioconductor package survcomp is
provided open source under the Artistic-2.0 License with a user manual containing …
Abstract
Summary: The survcomp package provides functions to assess and statistically compare the performance of survival/risk prediction models. It implements state-of-the-art statistics to (i) measure the performance of risk prediction models; (ii) combine these statistical estimates from multiple datasets using a meta-analytical framework; and (iii) statistically compare the performance of competitive models.
Availability: The R/Bioconductor package survcomp is provided open source under the Artistic-2.0 License with a user manual containing installation, operating instructions and use case scenarios on real datasets. survcomp requires R version 2.13.0 or higher. http://bioconductor.org/packages/release/bioc/html/survcomp.html
Contact: bhaibeka@jimmy.harvard.edu; mschroed@jimmy.harvard.edu
Supplementary Information: Supplementary data are available at Bioinformatics online.
Oxford University Press