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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.
Getting started
Browse package contents
Package details |
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| Author | Di Ran, Chiu-Hsieh Hsu, Mandi Yu |
| Maintainer | Chiu-Hsieh Hsu <pablo1639@gmail.com> |
| License | LGPL (>= 2) |
| Version | 1.0.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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