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NNMIS  

Nearest Neighbor Based Multiple Imputation for Survival Data with Missing Covariates
View on CRAN: Click here


Download and install NNMIS package within the R console
Install from CRAN:
install.packages("NNMIS")

Install from Github:
library("remotes")
install_github("cran/NNMIS")

Install by package version:
library("remotes")
install_version("NNMIS", "1.0.1")



Attach the package and use:
library("NNMIS")
Maintained by
Chiu-Hsieh Hsu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-10-18
Latest Update: 2019-04-20
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.
How to cite:
Chiu-Hsieh Hsu (2017). NNMIS: Nearest Neighbor Based Multiple Imputation for Survival Data with Missing Covariates. R package version 1.0.1, https://cran.r-project.org/web/packages/NNMIS. Accessed 04 Jan. 2025.
Previous versions and publish date:
1.0.0 (2017-10-18 15:08)
Other packages that cited NNMIS R package
View NNMIS citation profile
Other R packages that NNMIS depends, imports, suggests or enhances
Complete documentation for NNMIS
Functions, R codes and Examples using the NNMIS R package
Some associated functions: NNMIS . coxph.pool . km.pool . nnmi . plotKM . print.nnmi . 
Some associated R codes: NNIMS.R . NNMI.R . class.nnmi.R . kmpool.R . plotKM.R . pool.R . print.nnmi.R .  Full NNMIS package functions and examples
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