BuyseTest: Generalized Pairwise Comparisons

Implementation of the Generalized Pairwise Comparisons (GPC). GPC compare two groups of observations (intervention vs. control group) regarding several prioritized endpoints. The net benefit and win ratio statistics can then be estimated and corresponding confidence intervals and p-values can be estimated using resampling methods or the asymptotic U-statistic theory. The software enables the use of thresholds of minimal importance difference, stratification, and corrections to deal with right-censored endpoints or missing values.

Version: 1.8
Depends: R (≥ 2.10), prodlim, Rcpp
Imports: data.table, doParallel, foreach, methods, lava, parallel, stats, stats4, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: pbapply, R.rsp, riskRegression, survival, testthat
Published: 2019-11-13
Author: Brice Ozenne ORCID iD [aut, cre], Julien Peron [ctb], Eva Cantagallo [aut]
Maintainer: Brice Ozenne <brice.mh.ozenne at gmail.com>
BugReports: https://github.com/bozenne/BuyseTest/issues
License: GPL-3
URL: https://github.com/bozenne/BuyseTest
NeedsCompilation: yes
SystemRequirements: C++11
Citation: BuyseTest citation info
Materials: NEWS
CRAN checks: BuyseTest results

Downloads:

Reference manual: BuyseTest.pdf
Vignettes: overview
Package source: BuyseTest_1.8.tar.gz
Windows binaries: r-devel: BuyseTest_1.7.zip, r-release: BuyseTest_1.7.zip, r-oldrel: BuyseTest_1.7.zip
OS X binaries: r-release: BuyseTest_1.7.tgz, r-oldrel: BuyseTest_1.7.tgz
Old sources: BuyseTest archive

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