Simultaneously Impute the Missing and Censored Values
Overview
Implementing a multiple imputation algorithm for multivariate data with missing and censored values under a coarsening at random assumption (Heitjan and Rubin, 1991doi: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.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Hesen Li <li.hesen.21@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Hesen",
family = "Li",
role = c("aut", "cre"),
email = "li.hesen.21@gmail.com")
as necessary.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-04-22
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 10includes a package overview page
- Examples that run
- 86%6 run in a plain check · 1 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 10%
Downloads
Repository
- PRs merged (all time)
- 0%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 0
Forks over time
Releases over time
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/hli226/mvnimpute on 2026-10-11.
Dependencies
Installing mvnimpute adds 27 packages (15 with compiled code, 30 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, LaplacesDemon 2.0 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.0.1Latest
- 1.0.02022-06-23
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-06-23
- Total releases
- 2 / 4 yrs
- License
- GPL-2 | GPL-3 OSI
- Minimum R
- ≥ 3.4.0
- Bundled data
- 224 KB / 2 files
- Download size
- 256 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("mvnimpute")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.