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BuyseTest (version 1.6)

Generalized Pairwise Comparisons

Description

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 important difference as well as stratification. Censored observations can be handled using Gehan's modification of the Wilcoxon statistic, inverse probability of censoring weights, or, in the case of right censoring, using the empirical survival curves in each group to estimating the expected score of the censored pairs.

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Install

install.packages('BuyseTest')

Monthly Downloads

948

Version

1.6

License

GPL-3

Issues

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Stars

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Maintainer

Brice Ozenne

Last Published

October 17th, 2018

Functions in BuyseTest (1.6)

internal-initialization

internal functions for BuyseTest - initialization
BuyseTest.options

Global options for BuyseTest package
internal-print

internal functions for BuyseTest - display
BuyseTest-package

BuyseTest package: Generalized Pairwise Comparisons
BuyseTest

Generalized Pairwise Comparisons (GPC)
constStrata

Strata creation
BuyseRes-summary

Summary Method for Class "BuyseRes"
discreteRoot

Dichotomic search for monotone function
BuyseSim-class

Class "BuyseSim" (output of BuyseTest)
GPC_cpp

C++ function performing the pairwise comparison over several endpoints.
calcIntegralScore_cpp

C++ Function Computing the Integral Terms for the Peron Method.
Simulation function

Simulation of data for the BuyseTest
powerBuyseTest

Performing simulation studies with BuyseTest
BuyseTest.options-class

Class "BuyseTest.options" (global setting for the BuyseTest package)
BuyseTest.options-methods

Methods for the class "BuyseTest.options"
testArgs

Check Arguments Passed to BuyseTest
validFCTs

Check Arguments of a function.
BuyseSim-show

Show Method for Class "BuyseSim"
BuyseSim-summary

Summary Method for Class "BuyseSim"
boot2pvalue

Compute the p.value from the distribution under H1
getCount

Extract the Number of Favorable, Unfavorable, Neutral, Uninformative pairs
getPairScore

Extract the Score of Each Pair
BuyseRes-class

Class "BuyseRes" (output of BuyseTest)
BuyseRes-confint

Confidence Intervals for Model Parameters
getSurvival

Extract the Survival and Survival Jumps
BuyseRes-show

Show Method for Class "BuyseRes"