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ClustImpute

0.2.4Package record

K-Means Clustering with Build-in Missing Data Imputation

0packages dependsuggested by 1
4.4Kdownloads / year
100.0%test coverage
11/13flavors OK

Overview

About

This k-means algorithm is able to cluster data with missing values and as a by-product completes the data set. The implementation can deal with missing values in multiple variables and is computationally efficient since it iteratively uses the current cluster assignment to define a plausible distribution for missing value imputation. Weights are used to shrink early random draws for missing values (i.e., draws based on the cluster assignments after few iterations) towards the global mean of each feature. This shrinkage slowly fades out after a fixed number of iterations to reflect the increasing credibility of cluster assignments. See the vignette for details.

Changes in 0.2.4
  • print()/cat() replaced by message()/warning(), except for print function
  • Improved documentation of return values

From NEWS.md in the release

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Oliver Pfaffel <opfaffel@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Oliver",
                    family = "Pfaffel",
                    role = c("aut", "cre"),
                    email = "opfaffel@gmail.com")
as necessary.

Package CITATION file contains call(s) to old-style citEntry().  Please
use bibentry() instead.

CRAN check page ↗

Slowest check: 2.4 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-06-09
  • ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.2.4
READMEYes · 474 wordsVignettesYes · 2 · dynamicNEWSYes · 100% structured · mentions 0.2.4Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
9 (1 internal)
Examples that run
100%5 run in a plain check
Exported functions with examples
80%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

4.4K
CRAN downloads in the past year
Rank #8,025 · ~12/day · ~366/mo
Daily download trend is not available in this view yet.
45630 days
1.1K90 days
4.4K1 year
Compare downloads with other packages →
Also on107 r2u11 autocran1.1K conda_forge85 c2d4u

Dependencies

Declared dependencies
16 external dependencies (excludes base and recommended)

Installing ClustImpute adds 47 packages (27 with compiled code, 40 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, copula 3.5 MB.

Depends (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

People & History

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

Maintainer since 0.1.3 (2019)

Releases (7)

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
  • R
    R 4.2.0 released · 2022-04-22
  • unarchivedReturned to CRAN
    2021-05-31
  • 0.2.4Latest
    record
    2021-05-31 · current release · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • archivedRemoved from CRAN
    2021-04-28
    check problems were not corrected in time Suggests: packages not used conditionally
  • 0.2.0
    record
    2021-03-21 · diff ↗
  • 0.1.7
    record
    2021-01-06 · diff ↗
  • 0.1.6
    record
    2020-12-12 · diff ↗
  • 0.1.5
    record
    2020-07-26 · diff ↗ ·
    removed 1 export
    check_replace_dups
  • 0.1.4
    record
    2020-05-11 · diff ↗ ·
    added 1 export
    check_replace_dups
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.3
    record
    2019-08-01
Show 1 earlier eventHide 1 earlier event
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-08-01
Total releases
7 / 7 yrs
License
GPL-3 OSI
Download size
765 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("ClustImpute")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.13140/rg.2.2.20143.36007.

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 ClustImpute version 0.2.4 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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