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 |
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 |
Reference manual: | BuyseTest.pdf |
Vignettes: |
overview |
Package source: | BuyseTest_1.8.tar.gz |
Windows binaries: | r-devel: BuyseTest_1.8.zip, r-devel-gcc8: BuyseTest_1.8.zip, r-release: BuyseTest_1.8.zip, r-oldrel: BuyseTest_1.8.zip |
OS X binaries: | r-release: BuyseTest_1.8.tgz, r-oldrel: BuyseTest_1.8.tgz |
Old sources: | BuyseTest archive |
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