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.
|Author||Di Ran, Chiu-Hsieh Hsu, Mandi Yu|
|Maintainer||Paul Hsu <[email protected]>|
|License||LGPL (>= 2)|
|Package repository||View on CRAN|
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