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.
||R (≥ 2.14.0)
||stats, graphics, parallel, survival
||Di Ran, Chiu-Hsieh Hsu, Mandi Yu
||Chiu-Hsieh Hsu <pablo1639 at gmail.com>
||LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2)]
Please use the canonical form
to link to this page.