Package: randPack 1.53.0

Robert Gentleman

randPack: Randomization routines for Clinical Trials

A suite of classes and functions for randomizing patients in clinical trials.

Authors:Vincent Carey <[email protected]> and Robert Gentleman

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randPack.pdf |randPack.html✨
randPack/json (API)

# Install 'randPack' in R:
install.packages('randPack', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • CT1 - Demonstration data for use with randPack
  • SampleData - Randomly generated data representing a potential patient cohort.
  • alltabs - Demonstration data for use with randPack
  • pD1 - Demonstration data for use with randPack
  • sco - Demonstration data for use with randPack

On BioConductor:randPack-1.53.0(bioc 3.21)randPack-1.52.0(bioc 3.20)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

statisticalmethod

3.30 score 5 scripts 214 downloads 1 mentions 14 exports 2 dependencies

Last updated 23 days agofrom:4066dc421d. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winNOTEOct 31 2024
R-4.5-linuxNOTEOct 31 2024
R-4.4-winNOTEOct 31 2024
R-4.4-macNOTEOct 31 2024
R-4.3-winNOTEOct 31 2024
R-4.3-macNOTEOct 31 2024

Exports:createTrialfactorNamesgetEnrolleeInfogetTreatmentmakeRandomizerminimizePocSimminimizeTavesnumberOfFactorLevelsnumberOfTreatmentsrandomization<-simPatstreatmentFactorstreatmentNamesvalidPID

Dependencies:BiobaseBiocGenerics

Clinical trial randomization infrastructure

Rendered fromrandPack.Rnwusingutils::Sweaveon Oct 31 2024.

Last update: 2022-10-28
Started: 2013-11-01

Readme and manuals

Help Manual

Help pageTopics
Class "ClinicalExperiment"ClinicalExperiment-class randomization<- randomization<-,ClinicalExperiment,list-method show,ClinicalExperiment-method
Class "ClinicalTrial"ClinicalTrial-class
A function to create instances of the ClinicalTrial class.createTrial
demonstration data for use with randPackalltabs CT1 pD1 sco
Returns a named list, data frames by strata giving all covariate information along with allocationsgetEnrolleeInfo
Computes random allocation to treatment of a patient in a trialgetTreatment
A function to create specific instances of randomizers.makeRandomizer
use the Pocock-Simon or Taves algorithm for computing covariate-adaptive 'minimization' allocations for a clinical trialminimizePocSim minimizeTaves
Class "PatientData"PatientData-class
Class "PatientID"PatientID-class validPID
Class "Randomizer" and "RandomizerDesc" plus their subclasses.coerce,Randomizer,Minimization-method ForcedAlloc-class ForcedAllocDesc-class PermutedBlock-class PermutedBlockDesc-class Random-class RandomDesc-class Randomizer-class RandomizerDesc-class Urn-class UrnDesc-class
Randomly generated data representing a potential patient cohort.SampleData
A function to simulate patient covariate data.simPats
Accessor functions for the ClinicalExperiment class.factorNames numberOfFactorLevels numberOfTreatments treatmentFactors treatmentNames