Skip to content

FADPclust

1.1.1Package record

Functional Data Clustering Using Adaptive Density Peak Detection

0packages depend
3.2Kdownloads / year
–test coverage
0/13flavors OK

Overview

About
Maintained by Rui RenCRAN page ↗

An implementation of a clustering algorithm for functional data based on adaptive density peak detection technique, in which the density is estimated by functional k-nearest neighbor density estimation based on a proposed semi-metric between functions. The proposed functional data clustering algorithm is computationally fast since it does not need iterative process. (Alex Rodriguez and Alessandro Laio (2014) doi:10.1126/science.1242072; Xiao-Feng Wang and Yifan Xu (2016) doi:10.1177/0962280215609948).

Install

Health

CRAN checks
13NOTE
Check messages
NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
checkRd: (-1) FADPclust.Rd:28: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) FADPclust.Rd:29: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) FADPclust.Rd:30: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) FADPclust.Rd:31: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) FADPclust.Rd:32: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) FADPclust.Rd:33: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) FADPclust.Rd:34: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) FADPclust.Rd:35: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) FADPclust.Rd:36: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) FADPclust.Rd:37: Lost braces in \itemize; \value handles \item{}{} directly

CRAN check page ↗

Slowest check: 2.9 min · r-oldrel-windows-x86_64
Status changes
  • NOTE13 NOTE2026-06-09
  • ERROR12 NOTE, 1 ERROR2026-06-08
  • NOTE14 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.1.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
5
Examples that run
100%3 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
33%
Help pages citing references
20%

Downloads

3.2K
CRAN downloads in the past year
Rank #17,234 · ~9/day · ~263/mo
Daily download trend is not available in this view yet.
24830 days
74490 days
3.2K1 year
Compare downloads with other packages →
Also on70 r2u3 autocran

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing FADPclust adds 64 packages (37 with compiled code, 49 MB of source tarballs). Heaviest: ggplot2 6.0 MB, fields 3.9 MB, fds 3.7 MB.

Depends (1)
R >= 3.5.0
Imports (8)
MFPCAclusterfpcfdafda.uscfunDatastatsgraphics
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 0.1.0 (2021)
Author · added in 1.1.0
Author · added in 1.1.0
Author · added in 1.1.0
Releases (3)

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
  • 1.1.1Latest
    record
    2022-11-07 · current release · diff ↗
  • 1.1.0
    record
    2022-11-04 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.0
    record
    2021-10-08
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-10-08
Total releases
3 / 5 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
63 KB / 2 files
Download size
72 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FADPclust")
Ren, R., Fang, K., Wang, X., & Zhang, Q. (2022). FADPclust: Functional Data Clustering Using Adaptive Density Peak Detection (Version 1.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.FADPclust

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 FADPclust version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy