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-4.7-any)SurvImpute_0.1.0.tar.gz(r-4.6-any)
SurvImpute_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SurvImpute/json (API)

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

On CRAN:

Conda:

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

1.00 score 123 downloads 4 exports 5 dependencies

Last updated from:a9dc6102f2. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK135
source / vignettesOK219
linux-release-x86_64OK159
wasm-releaseOK94

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

Dependencies:latticeMASSMatrixsurvivalVGAM