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seqimpute

2.2.1

Imputation of Missing Data in Sequence Analysis

0packages depend
3Kdownloads / year
97.8%test coverage
13/13checks pass

Overview

About
Maintained by Kevin EmeryFirst published 2022-09-086 releasesCRAN page ↗GitHub ↗

Multiple imputation of missing data in a dataset using MICT or MICT-timing methods. The core idea of the algorithms is to fill gaps of missing data, which is the typical form of missing data in a longitudinal setting, recursively from their edges. Prediction is based on either a multinomial or random forest regression model. Covariates and time-dependent covariates can be included in the model.

Install

Health

CRAN checks
13OK
Slowest check: 5.0 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.66
97.8%
Coverage · measured lines
100%
Documentation · exports
21
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-25
    11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
90%
Documented parameters
100%
Return-value docs
82%
References docs
7%

Downloads

3K
CRAN downloads in the past year
Rank #14,645 · ~8/day · ~246/mo
Daily download trend is not available in this view yet.
19230 days
70790 days
3K1 year
Compare downloads with other packages →
Also on115 r2u

Repository

Repository
1Stars
0Forks
0Open issues
0Open PRs
0Releases
24Commits
1Contributors
24 commits · Last activity 2026-01-21 · 0% stars, 30d

Stars over time

2026-02-04 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/emerykevin/seqimpute on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdrevdep/
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
18 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (4)
Author, Maintainer
Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 2.2.1Latest
    2026-01-20 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 2.2.0
    2025-01-15 · diff ↗
  • 2.1.0
    2024-11-13 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 2.0.0
    2024-03-27 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.8
    2022-11-07 · diff ↗
  • 1.7
    2022-09-08
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-09-08
Total releases
6 / 4 yrs
License
GPL-2 OSI
Minimum R
≥ 3.5.0
Bundled data
3.3 KB / 1 file
Download size
906 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("seqimpute")
Emery, K., Berchtold, A., Guinchard, A., & Taher, K. (2026). seqimpute: Imputation of Missing Data in Sequence Analysis (Version 2.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.seqimpute

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 seqimpute version 2.2.1 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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