Package: SurvImpute 0.1.0

Qinghua Lian

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.

Authors:Qinghua Lian [aut, cre, cph], Soyoung Kim [aut], Michael J. Martens [aut], Kwang Woo Ahn [aut]

SurvImpute_0.1.0.tar.gz
SurvImpute_0.1.0.tar.gz(r-4.5-noble)SurvImpute_0.1.0.tar.gz(r-4.4-noble)
SurvImpute_0.1.0.tgz(r-4.4-emscripten)SurvImpute_0.1.0.tgz(r-4.3-emscripten)
SurvImpute.pdf |SurvImpute.html✨
SurvImpute/json (API)

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

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

1.00 score 4 exports 5 dependencies

Last updated 20 days agofrom:a9dc6102f2. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 31 2025
R-4.5-linuxOKJan 31 2025

Exports:generate.comptgenerate.survnew.smcfcs.comptnew.smcfcs.surv

Dependencies:latticeMASSMatrixsurvivalVGAM