Package: InformativeCensoring 0.3.6

InformativeCensoring: Multiple Imputation for Informative Censoring

Multiple Imputation for Informative Censoring. This package implements two methods. Gamma Imputation described in <doi:10.1002/sim.6274> and Risk Score Imputation described in <doi:10.1002/sim.3480>.

Authors:David Ruau [aut], Nikolas Burkoff [aut], Jonathan Bartlett [aut, cre], Dan Jackson [aut], Edmund Jones [aut], Martin Law [aut], Paul Metcalfe [aut]

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InformativeCensoring.pdf |InformativeCensoring.html✨
InformativeCensoring/json (API)
NEWS

# Install 'InformativeCensoring' in R:
install.packages('InformativeCensoring', repos = c('https://jwb133.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jwb133/informativecensoring/issues

Datasets:
  • ScoreInd - Simulated time to event data with 5 time independent covariates
  • ScoreTimeDep - Simulated time dependent variables for time to event data

On CRAN:

9 exports 1.11 score 20 dependencies 1 dependents 9 scripts 267 downloads

Last updated 1 years agofrom:f2e4dfa295. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 28 2024
R-4.5-winOKAug 28 2024
R-4.5-linuxOKAug 28 2024
R-4.4-winOKAug 28 2024
R-4.4-macOKAug 28 2024
R-4.3-winOKAug 28 2024
R-4.3-macOKAug 28 2024

Exports:col.headingscox.zphExtractSinglegammaImputeImputeStatMakeTimeDepScoreNN.optionsScoreImputeScoreStatSet

Dependencies:bootclidplyrfansigenericsgluelatticelifecyclemagrittrMatrixpillarpkgconfigR6rlangsurvivaltibbletidyselectutf8vctrswithr

Multiple imputation when relaxing independent censoring assumption tutorial (Jackson 2014)

Rendered fromgamma_imputation_Jackson_2014.Rnwusingknitr::knitron Aug 28 2024.

Last update: 2016-07-28
Started: 2016-07-26

Risk Score Imputation tutorial (Hsu 2009)

Rendered fromrisk_score_imputation_Hsu_2009.Rnwusingknitr::knitron Aug 28 2024.

Last update: 2016-07-28
Started: 2016-07-26

Readme and manuals

Help Manual

Help pageTopics
Perform methods of multiple imputation for time to event dataInformativeCensoring-package InformativeCensoring
Specify the columns of the data frame required by score imputation methodcol.headings
Test Cox proportional hazards assumptioncox.zph
Extract a single risk score/gamma imputed data set/model fitExtractSingle ExtractSingle.GammaImputedSet ExtractSingle.GammaStatList ExtractSingle.ScoreImputedSet ExtractSingle.ScoreStatList
Perform gamma-Imputation for a given data setgammaImpute
'GammaImputedData' objectGammaImputedData.object
'GammaImputedSet' objectGammaImputedSet.object
'GammaStat' objectGammaStat.object
'GammaStatList' objectGammaStatList.object
S3 generic to fit model(s) to risk score/gamma Imputed objectsImputeStat ImputeStat.GammaImputedData ImputeStat.GammaImputedSet ImputeStat.ScoreImputedSet
Create a valid 'ScoreTD' objectMakeTimeDepScore
Create a list of options which control the nearest neighbour algorithm for risk score imputationNN.options
Perform risk score multiple imputation methodScoreImpute
'ScoreImputedData' objectScoreImputedData.object
'ScoreImputedSet' objectScoreImputedSet.object
Simulated time to event data with 5 time independent covariatesScoreInd
ScoreStat objectScoreStat.object
ScoreStatListScoreStatList.object
S3 generic to create a 'ScoreStatSet' objectScoreStatSet
An object which contains the test statistic and estimators for a set of model fits to imputed data using risk score imputationScoreStatSet.object
A 'ScoreTD' objectScoreTD.object
Simulated time dependent variables for time to event dataScoreTimeDep
Summary object of 'ScoreStatSet' objectsummary.ScoreStatSet summary.ScoreStatSet.object