# getProbabilities: Theoretical probability for randomization sequences In randomizeR: Randomization for Clinical Trials

## Description

Calculate theoretical probability for observed randomization sequences

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40``` ```getProb(obj) ## S4 method for signature 'abcdSeq' getProb(obj) ## S4 method for signature 'bbcdSeq' getProb(obj) ## S4 method for signature 'bsdSeq' getProb(obj) ## S4 method for signature 'chenSeq' getProb(obj) ## S4 method for signature 'crSeq' getProb(obj) ## S4 method for signature 'ebcSeq' getProb(obj) ## S4 method for signature 'gbcdSeq' getProb(obj) ## S4 method for signature 'hadaSeq' getProb(obj) ## S4 method for signature 'mpSeq' getProb(obj) ## S4 method for signature 'pbrSeq' getProb(obj) ## S4 method for signature 'rarSeq' getProb(obj) ## S4 method for signature 'tbdSeq' getProb(obj) ## S4 method for signature 'udSeq' getProb(obj) ```

## Arguments

 `obj` object of a class inheriting from randSeq. Formal representation of a randomization sequences together with the parameters that belong to the procedure that generated the sequences.

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11``` ```myPar <- bsdPar(10, 2) M <- genSeq(myPar, 2) getProb(M) # All Sequences par <- pbrPar(bc=c(2,2)) refSet <- getAllSeq(myPar) probs <- getProb(refSet) # Sequences with probabilities cbind(probs, refSet\$M) ```

randomizeR documentation built on June 16, 2018, 1:35 p.m.