.colCenter_cpp          Substract a vector of values in each column
.colMultiply_cpp        Multiply by a vector of values in each column
.colScale_cpp           Divide by a vector of values in each column
.rowCenter_cpp          Substract a vector of values in each row
.rowCumProd_cpp         Apply cumprod in each row
.rowCumSum_cpp          Apply cumsum in each column
.rowMultiply_cpp        Multiply by a vector of values in each row
.rowScale_cpp           Dividy by a vector of values in each row
BuyseMultComp           Adjustment for Multiple Comparisons
BuyseTTEM               Time to Event Model
BuyseTest               Generalized Pairwise Comparisons (GPC)
BuyseTest-package       BuyseTest package: Generalized Pairwise
                        Comparisons
BuyseTest.options       Global options for BuyseTest package
BuyseTest.options-class
                        Class "BuyseTest.options" (global setting for
                        the BuyseTest package)
BuyseTest.options-methods
                        Methods for the class "BuyseTest.options"
GPC_cpp                 C++ function performing the pairwise comparison
                        over several endpoints.
S4BuysePower-class      Class "S4BuysePower" (output of BuyseTest)
S4BuysePower-show       Show Method for Class "S4BuysePower"
S4BuysePower-summary    Summary Method for Class "S4BuysePower"
S4BuyseTest-class       Class "S4BuyseTest" (output of BuyseTest)
S4BuyseTest-coef        Coef Method for Class "S4BuyseTest"
S4BuyseTest-confint     Confidence Intervals for Model Parameters
S4BuyseTest-show        Show Method for Class "S4BuyseTest"
S4BuyseTest-summary     Summary Method for Class "S4BuyseTest"
Simulate endpoints for GPC
                        Simulation of data for the BuyseTest
as.data.table.performance
                        Convert Performance Objet to data.table
auc                     Estimation of the Area Under the ROC Curve
                        (EXPERIMENTAL)
autoplot.sensitivity    Graphical Display for Sensitivity Analysis
boot2pvalue             Compute the p.value from the distribution under
                        H1
coef.BuyseTestAuc       Extract the AUC Value
coef.BuyseTestBrier     Extract the Brier Score
confint.BuyseTestAuc    Extract the AUC value with its Confidence
                        Interval
confint.BuyseTestBrier
                        Extract the Brier Score with its Confidence
                        Interval
constStrata             Strata creation
discreteRoot            Dichotomic search for monotone function
getCount                Extract the Number of Favorable, Unfavorable,
                        Neutral, Uninformative pairs
getIid                  Extract the H-decomposition of the Estimator
getPairScore            Extract the Score of Each Pair
getPseudovalue          Extract the pseudovalues of the Estimator
getSurvival             Extract the Survival and Survival Jumps
iid.BuyseTestAuc        Extract the idd Decomposition for the AUC
iid.BuyseTestBrier      Extract the idd Decomposition for the Brier
                        Score
iid.prodlim             Extract i.i.d. decomposition from a prodlim
                        model
performance             Assess Performance of a Classifier
                        (EXPERIMENTAL)
performanceResample     Uncertainty About Performance of a Classifier
                        (EXPERIMENTAL)
powerBuyseTest          Performing simulation studies with BuyseTest
predict.BuyseTTEM       Prediction with Time to Event Model
sensitivity             Sensitivity Analysis for the Choice of the
                        Thresholds
simCompetingRisks       Simulation of Gompertz competing risks data for
                        the BuyseTest
