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
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.html , 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-release (arm64): SurvImpute_0.1.0.tgz, r-oldrel (arm64): SurvImpute_0.1.0.tgz, r-release (x86_64): SurvImpute_0.1.0.tgz, r-oldrel (x86_64): SurvImpute_0.1.0.tgz

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