[R-pkgs] surv2sample 0.1-2

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

david.kraus_at_matfyz.cz
http://www.davidkraus.net/

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