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", "3.1.0")



Attach the package and use:
library("BuyseTest")
Maintained by
Brice Ozenne
[Scholar Profile | Author Map]
First Published: 2016-08-17
Latest Update: 2023-03-20
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 3.1.0, https://cran.r-project.org/web/packages/BuyseTest. Accessed 08 May. 2025.
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)
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
04/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/2904/3005/0105/0205/0305/0405/0505/06Downloads for BuyseTest01020304050607080TrendBars

Today's Hot Picks in Authors and Packages

r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
gms  
'GAMS' Modularization Support Package
A collection of tools to create, use and maintain modularized model code written in the modeling la ...
Download / Learn more Package Citations See dependency  
MultiATSM  
Multicountry Term Structure of Interest Rates Models
Estimation routines for several classes of affine term structure of interest rates models. All the m ...
Download / Learn more Package Citations See dependency  
gaussDiff  
Difference measures for multivariate Gaussian probability density functions
A collection difference measures for multivariate Gaussian probability density functions, such as t ...
Download / Learn more Package Citations See dependency  
MXM  
Feature Selection (Including Multiple Solutions) and Bayesian Networks
Many feature selection methods for a wide range of response variables, including minimal, statistica ...
Download / Learn more Package Citations See dependency  
trajr  
Animal Trajectory Analysis
A toolbox to assist with statistical analysis of animal trajectories. It provides simple access to a ...
Download / Learn more Package Citations See dependency  

24,205

R Packages

207,311

Dependencies

65,312

Author Associations

24,206

Publication Badges

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