Package: NNMIS 1.0.1

Chiu-Hsieh Hsu

NNMIS: Nearest Neighbor Based Multiple Imputation for Survival Data with Missing Covariates

Imputation for both missing covariates and censored observations (optional) for survival data with missing covariates by the nearest neighbor based multiple imputation algorithm as described in Hsu et al. (2006) <doi:10.1002/sim.2452>, and Hsu and Yu (2018) <doi:10.1177/0962280218772592>. Note that the current version can only impute for a situation with one missing covariate.

Authors:Di Ran, Chiu-Hsieh Hsu, Mandi Yu

NNMIS_1.0.1.tar.gz
NNMIS_1.0.1.zip(r-4.7-any)NNMIS_1.0.1.zip(r-4.6-any)
NNMIS_1.0.1.tar.gz(r-4.7-any)NNMIS_1.0.1.tar.gz(r-4.6-any)
NNMIS_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
NNMIS/json (API)

# Install 'NNMIS' in R:
install.packages('NNMIS', 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.

1.04 score 1 stars 11 scripts 250 downloads 5 exports 3 dependencies

Last updated from:38d0880b95. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK88
source / vignettesOK140
linux-releaseOK120
windows-develOK66
windows-releaseOK61
wasm-releaseOK96

Exports:coxph.poolkm.poolnnmiNNMISplotKM

Dependencies:latticeMatrixsurvival