mvnimpute: Simultaneously Impute the Missing and Censored Values

Implementing a multiple imputation algorithm for multivariate data with missing and censored values under a coarsening at random assumption (Heitjan and Rubin, 1991<doi:10.1214/aos/1176348396>). The multiple imputation algorithm is based on the data augmentation algorithm proposed by Tanner and Wong (1987)<doi:10.1080/01621459.1987.10478458>. The Gibbs sampling algorithm is adopted to to update the model parameters and draw imputations of the coarse data.

Package details

AuthorHesen Li
MaintainerHesen Li <>
LicenseGPL-2 | GPL-3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the mvnimpute package in your browser

Any scripts or data that you put into this service are public.

mvnimpute documentation built on July 6, 2022, 5:08 p.m.