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Prints the randomization list including a summary if needed.
● Data Source:
CranContrib
● Keywords:
● Alias: print.rl4
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This function calculates the exact cumulative conditional distribution of the Wald-Wolfowitz runs.
● Data Source:
CranContrib
● Keywords:
● Alias: pruns.exact
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Main function RL4() randomizes subjects, patients in groups of (treatment) sequences.
If a blocksize is given, the randomization will be done within blocks.
If more then one blocksizes are given, the size of blocks will be chosen randomly from the blocksizes.
The randomization may be controlled by a Wald-Wolfowitz runs test. Functions to obtain the p-value of that test are included.
Contains further two helper functions sequences() and williams() to get the sequences of commonly used designs in BE studies.
● Data Source:
CranContrib
● Keywords:
● Alias: randomizeBE, randomizeBE-package
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The function is intended as helper function to get the sequences for commonly used designs in BE studies.
These sequences may then subsequently used in function RL4().
● Data Source:
CranContrib
● Keywords:
● Alias: sequences
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This function creates a randomization list of subjects, patients into sequences of treatments.
It is mainly intended for use in crossover studies but may be used also for parallel group designs if for sequences c("T","R") is used.
● Data Source:
CranContrib
● Keywords:
● Alias: RL4
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The function constructs the sequences of a Williams design via the algorithm given by Sheehe and Bross.
● Data Source:
CranContrib
● Keywords:
● Alias: williams
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The function calculates the 2-sided p-value of the Wald-Wolfowitz runs test after dichotomizing the input vector
● Data Source:
CranContrib
● Keywords:
● Alias: runs.pvalue
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providing 
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