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dmbc

Model Based Clustering of Binary Dissimilarity Measurements

v1.0.3 · Sep 24, 2024 · GPL (>= 2)

Description

Functions for fitting a Bayesian model for grouping binary dissimilarity matrices in homogeneous clusters. Currently, it includes methods only for binary data (<doi:10.18637/jss.v100.i16>).

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14 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies abind bayesplot coda ggplot2 (>= 3.2.1) ggrepel modeltools robustbase robustX (>= 1.2-5) stats4 dmbc

Version History

new 1.0.3 Mar 10, 2026
updated 1.0.3 ← 1.0.2 diff Sep 23, 2024
updated 1.0.2 ← 1.0.1 diff Jan 15, 2024
updated 1.0.1 ← 1.0.0 diff Apr 25, 2022
updated 1.0.0 ← 0.4.0 diff Nov 20, 2021
updated 0.4.0 ← 0.3.0 diff Jul 31, 2020
new 0.3.0 Jun 11, 2020