DESCRIPTION

Package: BuyseTest
Type: Package
Title: Generalized Pairwise Comparisons
Version: 3.1.0
Date: 2025-02-21
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: 7.3.2
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.options.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'
    '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'