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: 2021-08-24 08:51:36 UTC; fsvife
Repository: CRAN
Date/Publication: 2021-09-06 07:50:02 UTC
Built: R 4.6.0; ; 2026-04-29 23:33:13 UTC; unix
