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
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-06 08:44:49 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2019-04-20 15:00:23 UTC
RemoteUrl: https://github.com/cran/NNMIS
RemoteRef: HEAD
RemoteSha: 38d0880b95599ee26e792647034f27038a2b9d32