Package: funIHC
Type: Package
Title: Functional Iterative Hierarchical Clustering
Version: 0.1.0
Authors@R: 
    c(person("Catherine", "Higgins", , "catherine.higgins@ucd.ie", role = c("aut", "cre")),
    person("Michelle", "Carey", , "michelle.carey@ucd.ie", role = c("aut")))
Description: Functional clustering aims to group curves exhibiting
        similar temporal behaviour and to obtain representative curves
        summarising the typical dynamics within each cluster. A key
        challenge in this setting is class imbalance, where some
        clusters contain substantially more curves than others, which
        can adversely affect clustering performance. While class
        imbalance has been extensively studied in supervised
        classification, it has received comparatively little attention
        in unsupervised clustering. This package implements functional
        iterative hierarchical clustering ('funIHC'), an adaptation of
        the iterative hierarchical clustering method originally
        developed for multivariate data, to the functional data
        setting. For further details, please see Higgins and Carey
        (2024) <doi:10.1007/s11634-024-00611-8>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: fda, stats, cluster, mclust
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr
RoxygenNote: 7.3.3
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-08 06:43:40 UTC; root
Author: Catherine Higgins [aut, cre], Michelle Carey [aut]
Maintainer: Catherine Higgins <catherine.higgins@ucd.ie>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-01-09 19:40:02 UTC
RemoteUrl: https://github.com/cran/funIHC
RemoteRef: HEAD
RemoteSha: 7f6ccf76de6bf73d2989dd3fedc105c12fb81d84