作者: Markus S. Schröder , Aedín C. Culhane , John Quackenbush , Benjamin Haibe-Kains
DOI: 10.1093/BIOINFORMATICS/BTR511
关键词: Bioconductor 、 Computer science 、 Survival analysis 、 Data mining 、 Measure (data warehouse)
摘要: 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 (i) measure risk models; (ii) combine these statistical estimates from multiple datasets using a meta-analytical framework; (iii) competitive Availability: R/Bioconductor is provided open source under Artistic-2.0 License with user manual containing installation, operating instructions use case scenarios on real datasets. requires R version 2.13.0 or higher. http://bioconductor.org/packages/release/bioc/html/survcomp.html