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mvnimpute

1.0.1Package record

Simultaneously Impute the Missing and Censored Values

0packages depend
2.3Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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

CRAN checks
2NOTE11OK
Check messages
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.

CRAN check page ↗

Slowest check: 3.7 min · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.1
READMEYes · 315 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
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

2.3K
CRAN downloads in the past year
Rank #19,909 · ~6/day · ~194/mo
Daily download trend is not available in this view yet.
24730 days
65290 days
2.3K1 year
Compare downloads with other packages →
Also on349 r2u10 autocran

Repository

0Stars
2Forks
0Open issues
0Open PRs
1Releases
185Commits
1Commit identities
License file reads as GPL-3.0 · 185 commits · Last activity 2022-07-05
Responsiveness
How these are sampled
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

2020-12-23 · 22026-07-07 · 2
PracticesBeta

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.

Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

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.

Depends (1)
R >= 3.4.0
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (1)

Maintainer since 1.0.0 (2022)

Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.1Latest
    record
    2022-07-06 · current release · diff ↗
  • 1.0.0
    record
    2022-06-23
  • R
    R 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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mvnimpute version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

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.

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