Package: hopach
Version: 2.72.0
Title: Hierarchical Ordered Partitioning and Collapsing Hybrid (HOPACH)
Author: Katherine S. Pollard, with Mark J. van der Laan
        <laan@stat.berkeley.edu> and Greg Wall
Maintainer: Katherine S. Pollard <katherine.pollard@gladstone.ucsf.edu>
Depends: R (>= 2.11.0), cluster, Biobase, methods
Imports: graphics, grDevices, stats, utils, BiocGenerics
Description: The HOPACH clustering algorithm builds a hierarchical tree
        of clusters by recursively partitioning a data set, while
        ordering and possibly collapsing clusters at each level. The
        algorithm uses the Mean/Median Split Silhouette (MSS) criteria
        to identify the level of the tree with maximally homogeneous
        clusters. It also runs the tree down to produce a final ordered
        list of the elements. The non-parametric bootstrap allows one
        to estimate the probability that each element belongs to each
        cluster (fuzzy clustering).
License: GPL (>= 2)
URL: http://www.stat.berkeley.edu/~laan/, http://docpollard.org/
biocViews: Clustering
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2026-04-28 12:30:47 UTC
RemoteUrl: https://github.com/bioc/hopach
RemoteRef: RELEASE_3_23
RemoteSha: 2172172ac6a8211093ba4cecd928126db9efd1e6
NeedsCompilation: yes
Packaged: 2026-04-29 15:02:11 UTC; root
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-29 15:13:10 UTC; unix
