R Observatory: Metrics for PAMhm version 0.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

PAMhm

0.1.2

Generate Heatmaps Based on Partitioning Around Medoids (PAM)

0packages depend

2Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Vidal FeyFirst published 2021-09-061 releasesCRAN page ↗

Data are partitioned (clustered) into k clusters "around medoids", which is a more robust version of K-means implemented in the function pam() in the 'cluster' package. The PAM algorithm is described in Kaufman and Rousseeuw (1990) doi:10.1002/9780470316801. Please refer to the pam() function documentation for more references. Clustered data is plotted as a split heatmap allowing visualisation of representative "group-clusters" (medoids) in the data as separated fractions of the graph while those "sub-clusters" are visualised as a traditional heatmap based on hierarchical clustering.

Install

R (CRAN)Ubuntu (r2u)

install.packages("PAMhm", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-pamhm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

Health

CRAN checks

13OK

Slowest check: 2.2 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

12

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
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 50%

Downloads

2K

CRAN downloads in the past year

Rank #19,690 · ~5/day · ~166/mo

Releases R versions

Daily download trend is not available in this view yet.

17730 days

57590 days

2K1 year

Compare downloads with other packages →

Also on93 r2u

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Depends (5)

heatmapFlexclustergrDevicesgraphicsstats

Imports (7)

RColorBrewer R.utils readxl readmoReutilsplyr robustHD

LinkingTo (0)

none

Suggests (2)

rmarkdown knitr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)

Maintainer (1)

Vidal Fey

Author, Maintainer

Authors (2)

Vidal Fey

Author, Maintainer

Henri Sara

Author

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.1.2Latest
2026-03-10 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2021-09-06
Total releases: 1 / 5 yrs
License: GPL-3 OSI
Download size: 249 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PAMhm")

Format

Fey, V., & Sara, H. (2021). PAMhm: Generate Heatmaps Based on Partitioning Around Medoids (PAM) (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.PAMhm

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for PAMhm version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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