Other packages > Find by keyword >

BuyseTest  

Generalized Pairwise Comparisons
View on CRAN: Click here


Download and install BuyseTest package within the R console
Install from CRAN:
install.packages("BuyseTest")

Install from Github:
library("remotes")
install_github("cran/BuyseTest")

Install by package version:
library("remotes")
install_version("BuyseTest", "3.3.4")



Attach the package and use:
library("BuyseTest")
Maintained by
Brice Ozenne
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-17
Latest Update: 2025-07-24
Description:
Implementation of the Generalized Pairwise Comparisons (GPC) as defined in Buyse (2010) for complete observations, and extended in Peron (2018) 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 than a random observation drawn from the other group (Mann-Whitney parameter). The net benefit and win ratio statistics, i.e. the difference and ratio between the probabilities relative to the intervention and control groups, can then also be estimated. Confidence intervals and p-values are obtained based on asymptotic results (Ozenne 2021 ), 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.
How to cite:
Brice Ozenne (2016). BuyseTest: Generalized Pairwise Comparisons. R package version 3.3.4, https://cran.r-project.org/web/packages/BuyseTest. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0 (2016-08-17 10:40), 1.3.2 (2018-05-29 09:28), 1.5.0 (2018-09-26 16:20), 1.6 (2018-10-17 12:30), 1.7 (2019-01-16 10:00), 1.8.3 (2020-01-16 15:50), 1.8.4 (2020-02-14 14:50), 1.8.5 (2020-03-03 13:20), 1.8 (2019-11-13 17:50), 2.1.0 (2020-04-26 17:20), 2.1.3 (2020-05-07 17:10), 2.2.1 (2021-01-05 21:40), 2.2.3 (2021-01-12 11:20), 2.2.6 (2021-03-16 20:30), 2.3.0 (2021-04-23 18:50), 2.3.5 (2021-10-25 09:00), 2.3.9 (2022-01-03 12:30), 2.3.10 (2022-01-11 10:02), 2.3.11 (2022-03-28 08:50), 2.4.0 (2023-03-20 23:30), 3.0.2 (2024-01-23 16:12), 3.0.4 (2024-07-01 11:20), 3.0.5 (2024-10-13 23:40), 3.1.0 (2025-03-04 15:40), 3.2.0 (2025-05-08 12:10), 3.3.1 (2025-07-07 22:20), 3.3.3 (2025-07-24 11:20), 3.3.4 (2025-09-24 19:10)
Other packages that cited BuyseTest R package
View BuyseTest citation profile
Other R packages that BuyseTest depends, imports, suggests or enhances
Complete documentation for BuyseTest
Functions, R codes and Examples using the BuyseTest R package
Some associated functions: BuyseMultComp . BuyseTTEM . BuyseTest-package . BuyseTest . BuyseTest.options-class . BuyseTest.options-methods . BuyseTest.options . GPC_cpp . S4BuysePower-class . S4BuysePower-show . S4BuysePower-summary . S4BuyseTest-class . S4BuyseTest-coef . S4BuyseTest-confint . S4BuyseTest-getCount . S4BuyseTest-getIid . S4BuyseTest-getPairScore . S4BuyseTest-getPseudovalue . S4BuyseTest-getSurvival . S4BuyseTest-sensitivity . S4BuyseTest-show . S4BuyseTest-summary . as.data.table.performance . auc . autoplot.sensitivity . boot2pvalue . calcIntegralSurv2_cpp . coef.BuyseTestAuc . coef.BuyseTestBrier . confint.BuyseTestAuc . confint.BuyseTestBrier . constStrata . discreteRoot . dot-calcIntegralCif_cpp . dot-calcIntegralSurv_cpp . dot-colCenter_cpp . dot-colMultiply_cpp . dot-colScale_cpp . dot-information.logit . dot-rowCenter_cpp . dot-rowCumProd_cpp . dot-rowCumSum_cpp . dot-rowMultiply_cpp . dot-rowScale_cpp . dot-score.logit . dot-vcov.logit . iid.BuyseTestAuc . iid.BuyseTestBrier . iid.prodlim . internal-initialization . internal-print . performance . performanceResample . pnormexp . pnormweibull . powerBuyseTest . predict.BuyseTTEM . predict.logit . qnormexp . qnormweibull . simCompetingRisks . simulation . testArgs . validFCTs . 
Some associated R codes: 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 . PairScore.R . RcppExports.R . S4-BuysePower-show.R . S4-BuysePower-summary.R . S4-BuysePower.R . S4-BuyseTest-coef.R . S4-BuyseTest-confint.R . S4-BuyseTest-get.R . S4-BuyseTest-sensitivity.R . S4-BuyseTest-show.R . S4-BuyseTest-summary.R . S4-BuyseTest.R . S4-BuyseTest.options.R . as.data.table.performance.R . auc.R . autoplot.sensitivity.R . brier.R . constStrata.R . discreteRoot.R . iid.prodlim.R . normexp.R . performance.R . performanceResample.R . powerBuyseTest.R . predict.logit.R . simBuyseTest.R . simCompetingRisks.R . valid.R .  Full BuyseTest package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  
golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA