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SurvImpute: Multiple Imputation for Missing Covariates in Time-to-Event Data

Generates multiple imputed datasets from a substantive model compatible fully conditional specification model for time-to-event data. Our method assumes that the censoring process also depends on the covariates with missing values. Details will be available in an upcoming publication.

Version: 0.1.0
Imports: survival, VGAM, MASS
Suggests: mitools
Published: 2025-01-31
DOI: 10.32614/CRAN.package.SurvImpute
Author: Qinghua Lian [aut, cre, cph], Soyoung Kim [aut], Michael J. Martens [aut], Kwang Woo Ahn [aut]
Maintainer: Qinghua Lian <qlian at mcw.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: SurvImpute results

Documentation:

Reference manual: SurvImpute.pdf

Downloads:

Package source: SurvImpute_0.1.0.tar.gz
Windows binaries: r-devel: SurvImpute_0.1.0.zip, r-release: SurvImpute_0.1.0.zip, r-oldrel: SurvImpute_0.1.0.zip
macOS binaries: r-devel (arm64): SurvImpute_0.1.0.tgz, r-release (arm64): SurvImpute_0.1.0.tgz, r-oldrel (arm64): SurvImpute_0.1.0.tgz, r-devel (x86_64): SurvImpute_0.1.0.tgz, r-release (x86_64): SurvImpute_0.1.0.tgz, r-oldrel (x86_64): SurvImpute_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.