Dear useRs, There is a new version 0.1-2 of the package surv2sample available on CRAN. Users of the previous versions should update because a bug in the function cif2.ks has been fixed.
General information about the package: surv2sample provides various two-sample tests for right-censored survival data. Three main areas and corresponding methods are: * comparison of two survival distributions - surv2.logrank: weighted logrank tests and their combinations (max, sum) - surv2.neyman: Neyman's smooth test and its data-driven version - surv2.ks: Kolmogorov–Smirnov, Cramér–von Mises and Anderson–Darling test * comparison of two cumulative incidence functions for competing risks data - cif: estimation and plotting of cumulative incidence functions - cif2.logrank: logrank-type test for subdistribution hazards - cif2.neyman: Neyman's smooth test and its data-driven version - cif2.ks: Kolmogorov–Smirnov test - cif2.int: integrated-difference test * goodness of fit tests of the proportional rate assumption (proportional hazards or proportional odds functions in two samples) - proprate2: estimation based on the simplified partial likelihood - proprate2.ks: Kolmogorov–Smirnov test - proprate2.neyman: Neyman's smooth test and its data-driven version - proprate2.gs: Gill–Schumacher type test See http://www.davidkraus.net/surv2sample/ for details and references. Best regards, -- David Kraus Institute of Information Theory and Automation Pod Vodarenskou vezi 4 CZ-18208 Prague 8 Czechia [EMAIL PROTECTED] http://www.davidkraus.net/ _______________________________________________ R-packages mailing list [EMAIL PROTECTED] https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.