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.

Getting started

Package details

AuthorDi Ran, Chiu-Hsieh Hsu, Mandi Yu
MaintainerChiu-Hsieh Hsu <pablo1639@gmail.com>
LicenseLGPL (>= 2)
Package repositoryView on CRAN
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NNMIS documentation built on May 1, 2019, 8:46 p.m.