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NNMIS (version 1.0.1)

Nearest Neighbor Based Multiple Imputation for Survival Data with Missing Covariates

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) , and Hsu and Yu (2018) . Note that the current version can only impute for a situation with one missing covariate.

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Version

Install

install.packages('NNMIS')

Monthly Downloads

157

Version

1.0.1

License

LGPL (>= 2)

Maintainer

Paul Hsu

Last Published

April 20th, 2019

Functions in NNMIS (1.0.1)

Perform Kaplan-Meier estmation over the multiply imputed survival data sets

Print function for object of 'nnmi' class.

Plot function for pooled Kaplan-Meier estimates

Estimate Cox regression model pooling over the imputed datasets

Nearest Neighbor Based Multiple Imputation for Survival Data with Mssing Covariates (NNMIS)