Package: PAMhm
Type: Package
Title: Generate Heatmaps Based on Partitioning Around Medoids (PAM)
Version: 0.1.2
Date: 2021-08-24
Author: Vidal Fey [aut, cre], Henri Sara [aut]
Authors@R: c(person("Vidal", "Fey", email = "vidal.fey@gmail.com", role=c("aut", "cre")), person("Henri", "Sara", email = "henri.sara@gmail.com", role=c("aut")))
Maintainer: Vidal Fey <vidal.fey@gmail.com>
Description: 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.
Depends: heatmapFlex, cluster, grDevices, graphics, stats
Imports: RColorBrewer, R.utils, readxl, readmoRe, utils, plyr, robustHD
Suggests: rmarkdown, knitr
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-19 11:04:13 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2021-09-06 06:50:02 UTC
RemoteUrl: https://github.com/cran/PAMhm
RemoteRef: HEAD
RemoteSha: af3755892dc8e20d5a98d41b653cd061495ee479