Package: NNMIS
Type: Package
Title: Nearest Neighbor Based Multiple Imputation for Survival Data
        with Missing Covariates
Version: 1.0.1
Date: 2019-04-19
Author: Di Ran, Chiu-Hsieh Hsu, Mandi Yu
Maintainer: Chiu-Hsieh Hsu <pablo1639@gmail.com>
Description: 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.
License: LGPL (>= 2)
Depends: R (>= 2.14.0)
Imports: stats, graphics, parallel, survival
LazyData: TRUE
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-04-20 15:11:31 UTC; cophuser
Repository: CRAN
Date/Publication: 2019-04-20 16:00:23 UTC
Built: R 4.6.0; ; 2026-04-27 18:53:47 UTC; unix
