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.

Version:	1.0.1
Depends:	R (≥ 2.14.0)
Imports:	stats, graphics, parallel, survival
Published:	2019-04-20
Author:	Di Ran, Chiu-Hsieh Hsu, Mandi Yu
Maintainer:	Chiu-Hsieh Hsu <pablo1639 at gmail.com>
License:	LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	NNMIS results

Documentation:

Reference manual:

NNMIS.pdf

Downloads:

Package source:	NNMIS_1.0.1.tar.gz
Windows binaries:	r-devel: NNMIS_1.0.1.zip, r-release: NNMIS_1.0.1.zip, r-oldrel: NNMIS_1.0.1.zip
macOS binaries:	r-release (arm64): NNMIS_1.0.1.tgz, r-oldrel (arm64): NNMIS_1.0.1.tgz, r-release (x86_64): NNMIS_1.0.1.tgz, r-oldrel (x86_64): NNMIS_1.0.1.tgz
Old sources:	NNMIS archive

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