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mvnimpute  

Simultaneously Impute the Missing and Censored Values
View on CRAN: Click here


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

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

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



Attach the package and use:
library("mvnimpute")
Maintained by
Hesen Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-23
Latest Update: 2022-07-06
Description:
Implementing a multiple imputation algorithm for multivariate data with missing and censored values under a coarsening at random assumption (Heitjan and Rubin, 1991). The multiple imputation algorithm is based on the data augmentation algorithm proposed by Tanner and Wong (1987). The Gibbs sampling algorithm is adopted to to update the model parameters and draw imputations of the coarse data.
How to cite:
Hesen Li (2022). mvnimpute: Simultaneously Impute the Missing and Censored Values. R package version 1.0.1, https://cran.r-project.org/web/packages/mvnimpute. Accessed 04 Jan. 2025.
Previous versions and publish date:
1.0.0 (2022-06-23 07:50)
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