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 important difference as well as stratification. Censored observations can be handled using Gehan's modification of the Wilcoxon statistic, inverse probability of censoring weights, or, in the case of right censoring, using the empirical survival curves in each group to estimating the expected score of the censored pairs.
Version: | 1.6 |
Depends: | R (≥ 2.10), prodlim, Rcpp, data.table |
Imports: | doParallel, foreach, methods, lava, parallel, stats, stats4, utils |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | pbapply, R.rsp, survival, testthat |
Published: | 2018-10-17 |
Author: | Brice Ozenne |
Maintainer: | Brice Ozenne <brice.ozenne at orange.fr> |
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 |
Reference manual: | BuyseTest.pdf |
Vignettes: |
overview |
Package source: | BuyseTest_1.6.tar.gz |
Windows binaries: | r-devel: BuyseTest_1.5.0.zip, r-release: BuyseTest_1.5.0.zip, r-oldrel: BuyseTest_1.5.0.zip |
OS X binaries: | r-release: BuyseTest_1.6.tgz, r-oldrel: BuyseTest_1.6.tgz |
Old sources: | BuyseTest archive |
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