Package: randomizeR 3.0.2
Ralf-Dieter Hilgers
randomizeR: Randomization for Clinical Trials
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.
Authors:
randomizeR_3.0.2.tar.gz
randomizeR_3.0.2.tar.gz(r-4.5-noble)randomizeR_3.0.2.tar.gz(r-4.4-noble)
randomizeR_3.0.2.tgz(r-4.4-emscripten)randomizeR_3.0.2.tgz(r-4.3-emscripten)
randomizeR.pdf |randomizeR.html✨
randomizeR/json (API)
| # Install 'randomizeR' in R: |
| install.packages('randomizeR', repos = 'https://cloud.r-project.org') |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:a1a068e84f. Checks:1 OK, 2 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 12 2025 |
| R-4.5-linux | NOTE | Mar 12 2025 |
| R-4.4-linux | NOTE | Mar 12 2025 |
Exports:aabcdParanalyseassessbbcdParblocksbsdParchenParchronBiascoincombineBiascomparecorGuesscreateParamcreateSeqcrParderFuncdoublyF_valuesebcParevaluateexpEndpgbcdPargenNcps_newgenSeqget_p_values_newgetAllSeqgetCorGuessesgetDesFuncgetDesigngetDesScoresgetDistributionParsgetExpectationgetProbgetRandListGSD_allocationGSD_allocation_seqhadaParimbalKmethodmpParmtiNnormEndppbrParplotplotDesplotEvplotSeqprobUnDesrandBlocksrarParratiorhorpbrParrtbdParsaveAssesssaveRandselBiassetPowersummarysurvEndptbdParTVtypeudPar
Dependencies:base64encbigDbitopsbslibcachemclicodetoolscoincolorspacecommonmarkcpp11curldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegsDesigngtgtablehighrhtmltoolshtmlwidgetsinsightisobandjquerylibjsonlitejuicyjuiceknitrlabelinglatticelibcoinlifecyclemagrittrmarkdownMASSMatrixmatrixStatsmemoisemgcvmimemodeltoolsmstatemultcompmunsellmvtnormnlmepillarpkgconfigplotrixplyrpurrrPwrGSDr2rtfR6rappdirsRColorBrewerRcppreactablereactRreshape2rlangrmarkdownsandwichsassscalesstringistringrsurvivalTH.datatibbletidyrtidyselecttinytexutf8V8vctrsviridisLitewithrxfunxml2xtableyamlzoo
Citation
To cite randomizeR in publications use:
Uschner D, Schindler D, Hilgers R, Heussen N (2018). “randomizeR: An R Package for the Assessment and Implementation of Randomization in Clinical Trials.” Journal of Statistical Software, 85(8), 1–22. doi:10.18637/jss.v085.i08.
Corresponding BibTeX entry:
@Article{,
title = {{randomizeR}: An {R} Package for the Assessment and
Implementation of Randomization in Clinical Trials},
author = {Diane Uschner and David Schindler and Ralf-Dieter Hilgers
and Nicole Heussen},
journal = {Journal of Statistical Software},
year = {2018},
volume = {85},
number = {8},
pages = {1--22},
doi = {10.18637/jss.v085.i08},
}
Readme and manuals
randomizeR
The R package randomizeR is an easy to use tool for the randomization of clinical trials. Its aim is to provide sound scientific evidence for the choice of a randomization procedure, on the basis of well-founded criteria. It includes functions for generating randomization sequences from various randomization procedures as well as various issues for the assessment of the randomization procedures.
Installation
You can install randomizeR from CRAN:
install.packages('randomizeR', dependencies = TRUE)
Motivation
Until now, the choice of a randomization procedure did not follow strict scientific principles. If the choice of a randomization procedure does not account for possible problems during the conduct of a clinical trial, the estimation of the treatment effect can be biased. randomizeR models the possible problems that occur in the analysis of a clinical trial, and provides functions to assess randomization procedures according to the issues.
Usage
library(randomizeR)
?randomizeR
vignette("comparison-example")
cg <- corGuess("CS")
rar <- genSeq(rarPar(6),10)
assess(rar, cg)
License
The package is free and open source software, licensed under GPL 3.
Help Manual
| Help page | Topics |
|---|---|
| Randomization for Clinical Trials | randomizeR-package randomizeR |
| Function returning the adjusting parameter a slot of an S4 object | a |
| Representing Accelerated Biased Coin Design | abcdPar |
| Creates stratified sequences Compares stratified sequences to their respective non-stratified version under the influence of bias. | analyse |
| Assessing randomization sequences | assess assess,randSeq,endpoint-method assess,randSeq,missing-method |
| Representing Bayesian Biased Coin Design | bbcdPar |
| Function returning the block slot of an S4 object | blocks |
| Representing Big Stick Design | bsdPar |
| Representing Chen's Design | chenPar |
| Representing chronological bias | chronBias |
| Function returning the coin slot of an S4 object | coin |
| Combined bias criterion | combineBias |
| Comparison of randomization procedures | compare compare,issue,endpoint-method compare,issue,missing-method |
| Representing the expected number of correct guesses | corGuess |
| Representing any randomization procedure | createParam |
| Query to create a randomization sequence of a particular randomization procedure | createSeq |
| Representing Complete Randomization | crPar |
| Representing Derringer-Suich desirability functions | derFunc |
| Desirability functions within the scope of clinical trials | desirability |
| Representing Efron's Biased Coin Design | ebcPar |
| Evaluation of several randomization procedures with respect to certain desirability functions applied to specified issues. | evaluate evaluate,character-method evaluate,missing-method |
| Representation of exponentially distributed endpoints | expEndp |
| Representing Generalized Biased Coin Design | gbcdPar |
| Complete set of randomization sequences | generateAllSequences getAllSeq getAllSeq,abcdPar-method getAllSeq,bbcdPar-method getAllSeq,bsdPar-method getAllSeq,chenPar-method getAllSeq,crPar-method getAllSeq,ebcPar-method getAllSeq,gbcdPar-method getAllSeq,hadaPar-method getAllSeq,mpPar-method getAllSeq,pbrPar-method getAllSeq,rarPar-method getAllSeq,tbdPar-method getAllSeq,udPar-method |
| Generate random sequences | generateRandomSequences genSeq genSeq,abcdPar,missing,missing-method genSeq,abcdPar,missing,numeric-method genSeq,abcdPar,numeric,missing-method genSeq,abcdPar,numeric,numeric-method genSeq,bbcdPar,missing,missing-method genSeq,bbcdPar,missing,numeric-method genSeq,bbcdPar,numeric,missing-method genSeq,bbcdPar,numeric,numeric-method genSeq,bsdPar,missing,missing-method genSeq,bsdPar,missing,numeric-method genSeq,bsdPar,numeric,missing-method genSeq,bsdPar,numeric,numeric-method genSeq,chenPar,missing,missing-method genSeq,chenPar,missing,numeric-method genSeq,chenPar,numeric,missing-method genSeq,chenPar,numeric,numeric-method genSeq,crPar,missing,missing-method genSeq,crPar,missing,numeric-method genSeq,crPar,numeric,missing-method genSeq,crPar,numeric,numeric-method genSeq,ebcPar,missing,missing-method genSeq,ebcPar,missing,numeric-method genSeq,ebcPar,numeric,missing-method genSeq,ebcPar,numeric,numeric-method genSeq,gbcdPar,missing,missing-method genSeq,gbcdPar,missing,numeric-method genSeq,gbcdPar,numeric,missing-method genSeq,gbcdPar,numeric,numeric-method genSeq,hadaPar,missing,missing-method genSeq,hadaPar,missing,numeric-method genSeq,hadaPar,numeric,missing-method genSeq,hadaPar,numeric,numeric-method genSeq,mpPar,missing,missing-method genSeq,mpPar,missing,numeric-method genSeq,mpPar,numeric,missing-method genSeq,mpPar,numeric,numeric-method genSeq,pbrPar,missing,missing-method genSeq,pbrPar,missing,numeric-method genSeq,pbrPar,numeric,missing-method genSeq,pbrPar,numeric,numeric-method genSeq,rarPar,missing,missing-method genSeq,rarPar,missing,numeric-method genSeq,rarPar,numeric,missing-method genSeq,rarPar,numeric,numeric-method genSeq,rpbrPar,missing,missing-method genSeq,rpbrPar,missing,numeric-method genSeq,rpbrPar,numeric,missing-method genSeq,rpbrPar,numeric,numeric-method genSeq,rtbdPar,missing,missing-method genSeq,rtbdPar,missing,numeric-method genSeq,rtbdPar,numeric,missing-method genSeq,rtbdPar,numeric,numeric-method genSeq,tbdPar,missing,missing-method genSeq,tbdPar,missing,numeric-method genSeq,tbdPar,numeric,missing-method genSeq,tbdPar,numeric,numeric-method genSeq,udPar,missing,missing-method genSeq,udPar,missing,numeric-method genSeq,udPar,numeric,missing-method genSeq,udPar,numeric,numeric-method |
| Calculation of the NCPs of each randomization sequence for the doubly noncentral t-distribution | genNcps_new |
| Calculating p values | get_p_values_new |
| Matrix of the guesses of the investigator | getCorGuesses |
| Type of Desirability function | getDesFunc getDesFunc,derringerLs-method getDesFunc,derringerRs-method getDesFunc,derringerTs-method |
| Design of a randomization procedure | getDesign getDesign,abcdPar-method getDesign,abcdSeq-method getDesign,bbcdPar-method getDesign,bbcdSeq-method getDesign,bsdPar-method getDesign,bsdSeq-method getDesign,chenPar-method getDesign,chenSeq-method getDesign,crPar-method getDesign,crSeq-method getDesign,ebcPar-method getDesign,ebcSeq-method getDesign,gbcdPar-method getDesign,gbcdSeq-method getDesign,hadaPar-method getDesign,hadaSeq-method getDesign,mpPar-method getDesign,mpSeq-method getDesign,pbrPar-method getDesign,pbrSeq-method getDesign,rarPar-method getDesign,rarSeq-method getDesign,rpbrPar-method getDesign,rRpbrSeq-method getDesign,rRtbdSeq-method getDesign,rtbdPar-method getDesign,tbdPar-method getDesign,tbdSeq-method getDesign,udPar-method getDesign,udSeq-method |
| Applying desirability functions on issues of individual randomization sequences | getDesScores getDesScores,assessment,missing-method getDesScores,assessment,numeric-method |
| Get distribution parameters of a randomization list | getDistributionPars getDistributionPars,randSeq,chronBias,survEndp-method getDistributionPars,randSeq,combinedBias,survEndp-method getDistributionPars,randSeq,combinedBiasStepTrend,survEndp-method getDistributionPars,randSeq,missing,survEndp-method getDistributionPars,randSeq,selBias,survEndp-method |
| Get expectations of a randomization list | getExpectation getExpectation,randSeq,chronBias,expEndp-method getExpectation,randSeq,chronBias,missing-method getExpectation,randSeq,chronBias,normEndp-method getExpectation,randSeq,chronBias,survEndp-method getExpectation,randSeq,combinedBias,expEndp-method getExpectation,randSeq,combinedBias,normEndp-method getExpectation,randSeq,combinedBias,survEndp-method getExpectation,randSeq,combinedBiasStepTrend,expEndp-method getExpectation,randSeq,combinedBiasStepTrend,normEndp-method getExpectation,randSeq,combinedBiasStepTrend,survEndp-method getExpectation,randSeq,missing,expEndp-method getExpectation,randSeq,missing,normEndp-method getExpectation,randSeq,missing,survEndp-method getExpectation,randSeq,power,normEndp-method getExpectation,randSeq,selBias,expEndp-method getExpectation,randSeq,selBias,missing-method getExpectation,randSeq,selBias,normEndp-method getExpectation,randSeq,selBias,survEndp-method |
| Theoretical probability for randomization sequences | calcProb calculateProbabilities getProb getProb,abcdSeq-method getProb,bbcdSeq-method getProb,bsdSeq-method getProb,chenSeq-method getProb,crSeq-method getProb,ebcSeq-method getProb,gbcdSeq-method getProb,hadaSeq-method getProb,mpSeq-method getProb,pbrSeq-method getProb,rarSeq-method getProb,tbdSeq-method getProb,udSeq-method getProbabilities |
| Accessor function for the randomization list | getRandList getRandomizationList |
| Calculates the Type I error for different randomization sequences from a randomization procedure for a group sequential design | GSD_allocation |
| Calculates the Type I error for a randomization sequence in a group sequential design | GSD_allocation_seq |
| Representing Hadamard Randomization | hadaPar |
| Representing the allocation imbalance | imbal |
| Assessment criteria for clinical trials | issue issues |
| Function returning the number of trial arms slot of an S4 object | K |
| Method returning the rate parameter of an expEndp S4 object | lambda |
| Function returning the method of an S4 object | method |
| Representing Maximal Procedure | mpPar |
| Function returning the MTI slot of an S4 object | mti |
| Access the expectation value slot of a normEndp S4 object | mu |
| Function returning the sample size slot of an S4 object | N |
| Representation of normally distributed endpoints | normEndp |
| Overview over the parameters used in the 'randomizeR' package | overview |
| Representing Permuted Block Randomization | pbrPar |
| Generic plotting of comparison objects | plot plot,comparison,character-method plot,comparison,missing-method |
| desScore plotting | plotDes |
| Evaluation plotting | plotEv |
| Sequence plotting | plotSeq |
| Computing the probability of having desirability scores of zero | probUnDes probUnDes,desScores-method |
| Function returning the block slot of an S4 object | randBlocks |
| Settings for randomization procedures | randPar |
| An S4 Class for the representation of randomization sequences | randSeq-class |
| Representing Random Allocation Rule | rarPar |
| Function returning the allocation ratio slot of an S4 object | ratio |
| Function returning the adjusting parameter rho slot of an S4 object | rho |
| Representing Randomized Permuted Block Randomization | rpbrPar |
| Representing Randomized Truncated Binomial Design | rtbdPar |
| Saving an assess object | saveAssess |
| Saving a randomization lists | saveRand |
| Method returning the scale parameter of an survEndp S4 object | scale |
| Function returning the allocation seed slot of an object | seed |
| Representing selection bias | selBias |
| Representing the power | setPower |
| Method returning the shape parameter of an survEndp S4 object | shape |
| Function returning the standard deviation slot of a normEndp S4 object | sigma |
| Summary of assessments of a randomization procedure | summary summary,assessment-method summary,desScores-method |
| Representation of survival endpoints | survEndp |
| Representing Truncated Binomal Design | tbdPar |
| Function returning the target value slot of an S4 object | TV |
| Get type of an object | type |
| Representing Wei's Urn Design | udPar |