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.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✨
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.

1.23 score 1 stars 17 scripts 167 downloads 5 exports 3 dependencies

Last updated from:38d0880b95. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK101
source / vignettesOK151
linux-release-x86_64OK101
wasm-releaseOK111

Exports:coxph.poolkm.poolnnmiNNMISplotKM

Dependencies:latticeMatrixsurvival