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]

InformativeCensoring_0.3.6.tar.gz
InformativeCensoring_0.3.6.zip(r-4.7-any)InformativeCensoring_0.3.6.zip(r-4.6-any)InformativeCensoring_0.3.6.zip(r-4.5-any)
InformativeCensoring_0.3.6.tgz(r-4.6-any)InformativeCensoring_0.3.6.tgz(r-4.5-any)
InformativeCensoring_0.3.6.tar.gz(r-4.7-any)InformativeCensoring_0.3.6.tar.gz(r-4.6-any)
InformativeCensoring_0.3.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
InformativeCensoring/json (API)

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

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:

Conda:

4.82 score 1 stars 1 packages 11 scripts 367 downloads 9 exports 19 dependencies

Last updated from:f2e4dfa295. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK227
source / vignettesOK345
linux-releaseOK263
macos-releaseOK151
macos-oldrelOK141
windows-develOK142
windows-releaseOK169
windows-oldrelOK167
wasm-releaseOK112

Exports:col.headingscox.zphExtractSinglegammaImputeImputeStatMakeTimeDepScoreNN.optionsScoreImputeScoreStatSet

Dependencies:bootclidplyrgenericsgluelatticelifecyclemagrittrMatrixpillarpkgconfigR6rlangsurvivaltibbletidyselectutf8vctrswithr

Multiple imputation when relaxing independent censoring assumption tutorial (Jackson 2014)
Rendered fromgamma_imputation_Jackson_2014.Rnwusingknitr::knitr

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

Risk Score Imputation tutorial (Hsu 2009)
Rendered fromrisk_score_imputation_Hsu_2009.Rnwusingknitr::knitr

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