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FPDclustering

2.3.6Package record

PD-Clustering and Related Methods

0packages depend
4.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About
Maintained by Cristina TortoraCRAN page ↗Declared funder: Paul D. McNicholas

Probabilistic distance clustering (PD-clustering) is an iterative, distribution-free, probabilistic clustering method. PD-clustering assigns units to a cluster according to their probability of membership under the constraint that the product of the probability and the distance of each point to any cluster center is a constant. PD-clustering is a flexible method that can be used with elliptical clusters, outliers, or noisy data. PDQ is an extension of the algorithm for clusters of different sizes. GPDC and TPDC use a dissimilarity measure based on densities. Factor PD-clustering (FPDC) is a factor clustering method that involves a linear transformation of variables and a cluster optimizing the PD-clustering criterion. It works on high-dimensional data sets.

Install

Health

CRAN checks
13OK
Slowest check: 2.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-02
Show 2 earlier changesHide 2 earlier changes
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.3.6
READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
17
Examples that run
71%10 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
59%

Downloads

4.2K
CRAN downloads in the past year
Rank #7,391 · ~11/day · ~347/mo
Daily download trend is not available in this view yet.
48530 days
1.2K90 days
4.2K1 year
Compare downloads with other packages →
Also on115 r2u6 autocran

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing FPDclustering adds 90 packages (42 with compiled code, 72 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB.

Depends (3)
R >= 4.1.0ThreeWaymvtnorm
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (5)
Author, Maintainer since 1.0 (2014), Copyright holder
Author · added in 2.0
Author · added in 1.4
Author · added in 1.3
Listed in earlier versions (1)
McNicholas
no longer listed · 2.3.2 to 2.3.6
Releases (17)

Pick two releases to compare their code metrics.

  • 2.3.6Latest
    record
    2026-07-10 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 2.3.5
    record
    2025-03-06 · diff ↗
  • unarchivedReturned to CRAN
    2025-02-13
  • 2.3.4
    record
    2025-02-13 · diff ↗
  • archivedRemoved from CRAN
    2025-02-11
    issues were not corrected in time
  • 2.3.3
    record
    2025-01-28 · diff ↗
  • 2.3.2
    record
    2024-12-12 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 2.3.1
    record
    2024-01-30 · diff ↗
  • 2.3
    record
    2024-01-25 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 2.2
    record
    2022-08-31 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 2.1
    record
    2022-02-02 · diff ↗
Show 18 earlier eventsHide 18 earlier events
  • 2.0
    record
    2021-09-11 · diff ↗ ·
    removed 1 export
    PDclust
    added 1 export
    PDC
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • unarchivedReturned to CRAN
    2020-01-28
  • 1.4.1
    record
    2020-01-28 · diff ↗
  • archivedRemoved from CRAN
    2020-01-26
    suggests archived package 'DAAG' but does not use it conditionally
  • 1.4
    record
    2020-01-09 · diff ↗ ·
    added 2 exports
    GPDC, TPDC
  • 1.3.1
    record
    2019-08-22 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 1.3
    record
    2019-04-12 · diff ↗ ·
    added 1 export
    PDQ
  • R
    R 3.5.0 released · 2018-04-23
  • 1.2
    record
    2017-08-23 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 1.1
    record
    2016-05-18 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • 1.0
    record
    2014-12-17
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2014-12-17
Total releases
17 / 12 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.1.0
Bundled data
1.9 MB / 8 files
Download size
1.9 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("FPDclustering")

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

It points to 10.1007/s00180-024-01490-5.

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 FPDclustering version 2.3.6 [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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