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randomizeR  

Randomization for Clinical Trials
View on CRAN: Click here


Download and install randomizeR package within the R console
Install from CRAN:
install.packages("randomizeR")

Install from Github:
library("remotes")
install_github("cran/randomizeR")

Install by package version:
library("remotes")
install_version("randomizeR", "3.0.2")



Attach the package and use:
library("randomizeR")
Maintained by
Ralf-Dieter Hilgers
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-09-09
Latest Update: 2023-09-18
Description:
This tool enables the user to choose a randomization procedure based on sound scientific criteria. It comprises the generation of randomization sequences as well the assessment of randomization procedures based on carefully selected criteria. Furthermore, 'randomizeR' provides a function for the comparison of randomization procedures.
How to cite:
Ralf-Dieter Hilgers (2015). randomizeR: Randomization for Clinical Trials. R package version 3.0.2, https://cran.r-project.org/web/packages/randomizeR. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0 (2015-09-09 21:19), 1.1.0 (2016-01-19 23:55), 1.2.0 (2016-03-12 00:19), 1.3 (2016-06-23 19:44), 1.4.1 (2018-06-05 16:32), 1.4.2 (2018-06-15 18:04), 1.4 (2017-08-08 13:22), 2.0.0 (2019-11-28 06:40), 3.0.0 (2023-03-14 16:40), 3.0.1 (2023-03-19 23:20)
Other packages that cited randomizeR R package
View randomizeR citation profile
Other R packages that randomizeR depends, imports, suggests or enhances
Complete documentation for randomizeR
Functions, R codes and Examples using the randomizeR R package
Some associated functions: GSD_allocation . GSD_allocation_seq . K . N . TV . a . abcdPar . abcdRand . analyse . assess . bbcdPar . bbcdRand . blocks . bsdPar . bsdRand . cash-assessment-method . cash-comparison-method . cash-derFunc-method . cash-desFunc-method . cash-desScores-method . cash-endpoint-method . cash-evaluation-method . cash-issue-method . cash-probUnDesirable-method . cash-randPar-method . cash-randSeq-method . chenPar . chenRand . chronBias . coin . combineBias . compare . corGuess . crPar . createParam . createSeq . derFunc . desirability . doublyF_opt . doublyF_value . doublyF_values . doublyT . doublyTValues . ebcPar . evaluate . expEndp . gbcdPar . gbcdRand . genNcps . genNcps_new . generateAllSequences . generateRandomSequences . getCorGuesses . getDesFunc . getDesScores . getDesign . getDistributionPars . getExpectation . getProbabilities . getRandomizationList . get_p_values_new . getbiasCS1 . getbiasCS2 . hadaPar . hasAllGroups . hatMatrix . imbal . issue . lambda . lambda1 . lambda2 . logRankDecSim . logRankRejectionProb . makeBiasedExpectation . makeDesignMatrix . method . mpPar . mti . mu . normEndp . overview . pbrPar . plot . plotDes . plotEv . plotSeq . probUnDes . randBlocks . randPar . randSeq-class . randomizeR-package . rarPar . ratio . rho . rpbrPar . rtbdPar . saveAssess . saveRand . scale . seed . selBias . setPower . shape . sigma . summary . survEndp . tbdPar . type . udPar . 
Some associated R codes: GSD-Bias.R . abcdPar.R . abcdSeq.R . assess.R . bbcdPar.R . bbcdSeq.R . bias.R . bsdPar.R . bsdSeq.R . chenPar.R . chenSeq.R . chronBias.R . chronBiasStepT.R . combinedBias.R . compare.R . corGuess.R . crPar.R . crSeq.R . createParam.R . derFunc.R . derringerLs.R . derringerRs.R . derringerTs.R . desFunc.R . desScores.R . desirability.R . doublyF.R . doublyT.R . ebcPar.R . ebcSeq.R . endpoint.R . evaluate.R . expEndp.R . gbcdPar.R . gbcdSeq.R . getDesFunc.R . getDesign.R . getExpectation.R . getParameters.R . getStat.R . hadaPar.R . hadaSeq.R . imbalance.R . issue.R . logRankDistribution.R . maccombo.R . mpPar.R . mpSeq.R . normEndp.R . pbrPar.R . pbrSeq.R . power.R . probUnDes.R . randPar.R . randSeq.R . randomBlockSeq.R . randomizeROverview.R . randomizeRPackage.R . rarPar.R . rarSeq.R . rpbrPar.R . rpbrSeq.R . rtbdPar.R . rtbdSeq.R . saveAssess.R . saveRand.R . selBias.R . stratifiedAnalysis.R . survEndp.R . tbdPar.R . tbdSeq.R . testDec.R . udPar.R . udSeq.R . util.R .  Full randomizeR package functions and examples
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