Package: BuyseTest
Type: Package
Title: Generalized Pairwise Comparisons
Version: 3.3.9
Date: 2026-06-29
Authors@R: c(
    person("Brice", "Ozenne", role = c("aut", "cre"), email = "brice.mh.ozenne@gmail.com", comment = c(ORCID = "0000-0001-9694-2956")),
    person("Eva", "Cantagallo", role = "aut"),
    person("William", "Anderson", role = "aut"),
    person("Julien", "Peron", role = "ctb"),
    person("Johan", "Verbeeck", role = "ctb")
	)
Description: Implementation of the Generalized Pairwise Comparisons
        (GPC) as defined in Buyse (2010) <doi:10.1002/sim.3923> for
        complete observations, and extended in Peron (2018)
        <doi:10.1177/0962280216658320> to deal with right-censoring.
        GPC compare two groups of observations (intervention vs.
        control group) regarding several prioritized endpoints to
        estimate the probability that a random observation drawn from
        one group performs better/worse/equivalently than a random
        observation drawn from the other group. Summary statistics such
        as the net treatment benefit, win ratio, or win odds are then
        deduced from these probabilities. Confidence intervals and
        p-values are obtained based on asymptotic results (Ozenne 2021
        <doi:10.1177/09622802211037067>), non-parametric bootstrap, or
        permutations. The software enables the use of thresholds of
        minimal importance difference, stratification, non-prioritized
        endpoints (O Brien test), and can handle right-censoring and
        competing-risks.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/bozenne/BuyseTest
BugReports: https://github.com/bozenne/BuyseTest/issues
Depends: R (>= 3.5.0), Rcpp
Imports: data.table, doSNOW, foreach, ggplot2, methods, lava, parallel,
        prodlim, riskRegression, rlang, scales, stats, stats4, utils
Suggests: cvAUC, mvtnorm, pbapply, pROC, R.rsp, survival, testthat
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: R.rsp
NeedsCompilation: yes
RoxygenNote: 7.3.3
Collate: '0-onLoad.R' '1-setGeneric.R' 'BuyseMultComp.R' 'BuyseTTEM.R'
        'BuyseTest-Peron.R' 'BuyseTest-check.R' 'BuyseTest-inference.R'
        'BuyseTest-initialization.R' 'BuyseTest-package.R'
        'BuyseTest-print.R' 'BuyseTest.R' 'BuyseTest.options.R'
        'CasinoTest.R' 'PairScore.R' 'RcppExports.R' 'S4-BuysePower.R'
        'S4-BuysePower-model.tables.R' 'S4-BuysePower-nobs.R'
        'S4-BuysePower-summary.R' 'S4-BuysePower-print.R'
        'S4-BuysePower-show.R' 'S4-BuyseTest.R' 'S4-BuyseTest-coef.R'
        'S4-BuyseTest-confint.R' 'S4-BuyseTest-get.R'
        'S4-BuyseTest-model.tables.R' 'S4-BuyseTest-nobs.R'
        'S4-BuyseTest-plot.R' 'S4-BuyseTest-summary.R'
        'S4-BuyseTest-print.R' 'S4-BuyseTest-sensitivity.R'
        'S4-BuyseTest-show.R' 'S4-BuyseTest-update.R'
        'S4-BuyseTest.options.R' 'S4-BuyseTest.vcov.R'
        'as.data.table.performance.R' 'auc.R' 'autoplot.S4BuyseTest.R'
        'brier.R' 'constStrata.R' 'discreteRoot.R' 'doc-data.R'
        'efronlim.R' 'iid.S3sensitivity.R' 'iid.prodlim.R' 'mover.R'
        'normexp.R' 'performance.R' 'performanceResample.R'
        'plot.S3sensitivity.R' 'powerBuyseTest.R' 'predict.logit.R'
        'rbind.performanceResample.R' 'sim.simBuyseTest.R'
        'simBuyseTest.R' 'simCompetingRisks.R' 'summary.performance.R'
        'valid.R'
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev
Repository: https://bozenne.r-universe.dev
Date/Publication: 2026-06-29 10:21:41 UTC
RemoteUrl: https://github.com/bozenne/buysetest
RemoteRef: HEAD
RemoteSha: 5bf69074eb6160ac60502a3ec9ad97004e8bf324
Packaged: 2026-06-29 11:13:35 UTC; root
Author: Brice Ozenne [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-9694-2956>),
  Eva Cantagallo [aut],
  William Anderson [aut],
  Julien Peron [ctb],
  Johan Verbeeck [ctb]
Maintainer: Brice Ozenne <brice.mh.ozenne@gmail.com>