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 = c('https://cran.r-universe.dev', '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 1 years agofrom:a1a068e84f. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 12 2024 |
| R-4.5-linux | NOTE | Nov 12 2024 |
Exports:aabcdParanalyseassessbbcdParblocksbsdParchenParchronBiascoincombineBiascomparecorGuesscreateParamcreateSeqcrParderFuncdoublyF_valuesebcParevaluateexpEndpgbcdPargenNcps_newgenSeqget_p_values_newgetAllSeqgetCorGuessesgetDesFuncgetDesigngetDesScoresgetDistributionParsgetExpectationgetProbgetRandListGSD_allocationGSD_allocation_seqhadaParimbalKmethodmpParmtiNnormEndppbrParplotplotDesplotEvplotSeqprobUnDesrandBlocksrarParratiorhorpbrParrtbdParsaveAssesssaveRandselBiassetPowersummarysurvEndptbdParTVtypeudPar
Dependencies:base64encbigDbitopsbslibcachemclicodetoolscoincolorspacecommonmarkcpp11curldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegsDesigngtgtablehighrhtmltoolshtmlwidgetsinsightisobandjquerylibjsonlitejuicyjuiceknitrlabelinglatticelibcoinlifecyclemagrittrmarkdownMASSMatrixmatrixStatsmemoisemgcvmimemodeltoolsmstatemultcompmunsellmvtnormnlmepillarpkgconfigplotrixplyrpurrrPwrGSDr2rtfR6rappdirsRColorBrewerRcppreactablereactRreshape2rlangrmarkdownsandwichsassscalesstringistringrsurvivalTH.datatibbletidyrtidyselecttinytexutf8V8vctrsviridisLitewithrxfunxml2xtableyamlzoo
Readme and manuals
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 |