GSD_allocation          Calculates the Type I error for different
                        randomization sequences from a randomization
                        procedure for a group sequential design
GSD_allocation_seq      Calculates the Type I error for a randomization
                        sequence in a group sequential design
K                       Function returning the number of trial arms
                        slot of an S4 object
N                       Function returning the sample size slot of an
                        S4 object
TV                      Function returning the target value slot of an
                        S4 object
a                       Function returning the adjusting parameter a
                        slot of an S4 object
abcdPar                 Representing Accelerated Biased Coin Design
analyse                 Creates stratified sequences Compares
                        stratified sequences to their respective
                        non-stratified version under the influence of
                        bias.
assess                  Assessing randomization sequences
bbcdPar                 Representing Bayesian Biased Coin Design
blocks                  Function returning the block slot of an S4
                        object
bsdPar                  Representing Big Stick Design
chenPar                 Representing Chen's Design
chronBias               Representing chronological bias
coin                    Function returning the coin slot of an S4
                        object
combineBias             Combined bias criterion
compare                 Comparison of randomization procedures
corGuess                Representing the expected number of correct
                        guesses
crPar                   Representing Complete Randomization
createParam             Representing any randomization procedure
createSeq               Query to create a randomization sequence of a
                        particular randomization procedure
derFunc                 Representing Derringer-Suich desirability
                        functions
desirability            Desirability functions within the scope of
                        clinical trials
ebcPar                  Representing Efron's Biased Coin Design
evaluate                Evaluation of several randomization procedures
                        with respect to certain desirability functions
                        applied to specified issues.
expEndp                 Representation of exponentially distributed
                        endpoints
gbcdPar                 Representing Generalized Biased Coin Design
genNcps_new             Calculation of the NCPs of each randomization
                        sequence for the doubly noncentral
                        t-distribution
generateAllSequences    Complete set of randomization sequences
generateRandomSequences
                        Generate random sequences
getCorGuesses           Matrix of the guesses of the investigator
getDesFunc              Type of Desirability function
getDesScores            Applying desirability functions on issues of
                        individual randomization sequences
getDesign               Design of a randomization procedure
getDistributionPars     Get distribution parameters of a randomization
                        list
getExpectation          Get expectations of a randomization list
getProbabilities        Theoretical probability for randomization
                        sequences
getRandomizationList    Accessor function for the randomization list
get_p_values_new        Calculating p values
hadaPar                 Representing Hadamard Randomization
imbal                   Representing the allocation imbalance
issue                   Assessment criteria for clinical trials
lambda                  Method returning the rate parameter of an
                        expEndp S4 object
method                  Function returning the method of an S4 object
mpPar                   Representing Maximal Procedure
mti                     Function returning the MTI slot of an S4 object
mu                      Access the expectation value slot of a normEndp
                        S4 object
normEndp                Representation of normally distributed
                        endpoints
overview                Overview over the parameters used in the
                        'randomizeR' package
pbrPar                  Representing Permuted Block Randomization
plot                    Generic plotting of comparison objects
plotDes                 desScore plotting
plotEv                  Evaluation plotting
plotSeq                 Sequence plotting
probUnDes               Computing the probability of having
                        desirability scores of zero
randBlocks              Function returning the block slot of an S4
                        object
randPar                 Settings for randomization procedures
randSeq-class           An S4 Class for the representation of
                        randomization sequences
randomizeR-package      Randomization for Clinical Trials
rarPar                  Representing Random Allocation Rule
ratio                   Function returning the allocation ratio slot of
                        an S4 object
rho                     Function returning the adjusting parameter rho
                        slot of an S4 object
rpbrPar                 Representing Randomized Permuted Block
                        Randomization
rtbdPar                 Representing Randomized Truncated Binomial
                        Design
saveAssess              Saving an assess object
saveRand                Saving a randomization lists
scale                   Method returning the scale parameter of an
                        survEndp S4 object
seed                    Function returning the allocation seed slot of
                        an object
selBias                 Representing selection bias
setPower                Representing the power
shape                   Method returning the shape parameter of an
                        survEndp S4 object
sigma                   Function returning the standard deviation slot
                        of a normEndp S4 object
summary                 Summary of assessments of a randomization
                        procedure
survEndp                Representation of survival endpoints
tbdPar                  Representing Truncated Binomal Design
type                    Get type of an object
udPar                   Representing Wei's Urn Design
