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>, Long et al. (2012) <doi:10.5705/ss.2010.069>, Hsu et al. (2014) <doi:10.1080/10543406.2014.888444>, and Hsu and Yu (2017) <arXiv:1710.04721>. Note that the current version can only impute for a situation with one missing covariate.

Version: 1.0.0
Depends: R (≥ 2.14.0)
Imports: stats, graphics, parallel, survival
Published: 2017-10-18
Author: Di Ran, Chiu-Hsieh Hsu, Mandi Yu
Maintainer: Paul Hsu <pablo1639 at gmail.com>
License: LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2)]
NeedsCompilation: no
CRAN checks: NNMIS results


Reference manual: NNMIS.pdf
Package source: NNMIS_1.0.0.tar.gz
Windows binaries: r-devel: NNMIS_1.0.0.zip, r-release: NNMIS_1.0.0.zip, r-oldrel: NNMIS_1.0.0.zip
OS X binaries: r-release: NNMIS_1.0.0.tgz, r-oldrel: NNMIS_1.0.0.tgz


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