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misspi

0.1.1

Missing Value Imputation in Parallel

0packages depend
2.3Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Zhongli JiangFirst published 2023-10-172 releasesCRAN page ↗GitHub ↗

A framework that boosts the imputation of 'missForest' by Stekhoven, D.J. and Bühlmann, P. (2012) doi:10.1093/bioinformatics/btr597 by harnessing parallel processing and through the fast Gradient Boosted Decision Trees (GBDT) implementation 'LightGBM' by Ke, Guolin et al.(2017) https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision. 'misspi' has the following main advantages: 1. Allows embrassingly parallel imputation on large scale data. 2. Accepts a variety of machine learning models as methods with friendly user portal. 3. Supports multiple initializations methods. 4. Supports early stopping that prohibits unnecessary iterations.

Install

Health

CRAN checks
13OK
Slowest check: 3.0 min · r-oldrel-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
8
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 40 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
33%
Documented parameters
100%
Return-value docs
100%
References docs
40%

Downloads

2.3K
CRAN downloads in the past year
Rank #20,382 · ~6/day · ~195/mo
Daily download trend is not available in this view yet.
13330 days
53390 days
2.3K1 year
Compare downloads with other packages →
Also on110 r2u5 autocran

Repository

Repository
1Stars
0Forks
0Open issues
2Open PRs
1Releases
73Commits
2Contributors
73 commits · Last activity 2026-01-25

Stars over time

2023-10-17 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/catstats/misspi on 2026-08-03.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

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

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

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.1Latest
    2026-01-25 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.0
    2023-10-17
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-10-17
Total releases
2 / 3 yrs
License
GPL-2 OSI
Minimum R
≥ 3.5.0
Bundled data
394 KB / 1 file
Download size
410 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("misspi")

CRAN DOI

https://doi.org/10.32614/CRAN.package.misspi

BibTeX, derived from DESCRIPTION

@Manual{misspi,
  title  = {misspi: Missing Value Imputation in Parallel},
  author = {Jiang, Zhongli},
  year   = {2026},
  note   = {R package version 0.1.1},
  doi    = {10.32614/CRAN.package.misspi},
  url    = {https://CRAN.R-project.org/package=misspi}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatorymisspi,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {misspi} version 0.1.1},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/misspi},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for misspi version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/misspi

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for misspi version 0.1.1
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/misspi
ER  - 

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/misspi.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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