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-4.5-noble)NNMIS_1.0.1.tar.gz(r-4.4-noble)
NNMIS_1.0.1.tgz(r-4.4-emscripten)NNMIS_1.0.1.tgz(r-4.3-emscripten)
NNMIS.pdf |NNMIS.html✨
NNMIS/json (API)

# Install 'NNMIS' in R:

install.packages('NNMIS', 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.

1.11 score 1 stars 13 scripts 139 downloads 5 exports 3 dependencies

Last updated 6 years agofrom:38d0880b95. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 25 2024
R-4.5-linux	OK	Nov 25 2024

Exports:coxph.pool km.pool nnmi NNMIS plotKM

Dependencies:lattice Matrix survival

Help page	Topics
Estimate Cox regression model pooling over the imputed datasets	coxph.pool
Perform Kaplan-Meier estmation over the multiply imputed survival data sets	km.pool
A nnmi class	nnmi
Nearest Neighbor Based Multiple Imputation for Survival Data with Mssing Covariates (NNMIS)	NNMIS
Plot function for pooled Kaplan-Meier estimates	plotKM
Print function for object of 'nnmi' class.	print.nnmi

Package: NNMIS 1.0.1

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

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