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misspi

0.1.1Package record

Missing Value Imputation in Parallel

0packages depend
2.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Changes in 0.1.1

Changes

  • Fixed default parallel core usage to comply with CRAN check policies.
  • Updated examples to run safely during CRAN checks.
  • Improved robustness of parallel execution and cleanup.
  • Fixed the issue of LightGBM crash

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.0 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.1
READMEYes · 40 wordsVignettesNoNEWSYes · 100% structured · mentions 0.1.1Citation fileNo
Help pages
5 (1 internal)includes a package overview page
Examples that run
33%1 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
40%

Downloads

2.4K
CRAN downloads in the past year
Rank #23,126 · ~7/day · ~203/mo
Daily download trend is not available in this view yet.
24630 days
56390 days
2.4K1 year
Compare downloads with other packages →
Also on84 r2u5 autocran

Repository

1Stars
0Forks
0Open issues
2Open PRs
1Releases
73Commits
2Commit identities
73 commits · Last activity 2026-01-25
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
1

Stars over time

2023-10-17 · 12026-07-07 · 1
PracticesBeta

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

Checks run against github.com/catstats/misspi on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (2)

GitHub Pages site last deployed 2026-01-25 · The repository has a site deploy workflow

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)

Installing misspi adds 78 packages (42 with compiled code, 74 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1.0 (2023)
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.1Latest
    record
    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
    record
    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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("misspi")
Jiang, Z. (2026). misspi: Missing Value Imputation in Parallel (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.misspi

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 misspi version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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