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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.

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CRAN checks
13OK
Slowest check: 2.4 min · r-devel-linux-x86_64-fedora-clang
Check history
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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PAMhm
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Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)
Depends (5)
heatmapFlexclustergrDevicesgraphicsstats
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Suggests (2)
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Code & Tests

People & History

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Maintainer (1)
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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
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