Package: mdclust 0.99.2

Tim Herbermann

mdclust: Maximum Diversity Clustering

Standalone implementation of the maximum diversity clustering algorithm (Algorithm 2) from Korsunsky et al. (2019), Nature Methods. Soft spherical k-means with a batch-diversity penalty.

Authors:Tim Herbermann [aut, cre]

mdclust_0.99.2.tar.gz
mdclust_0.99.2.zip(r-4.7)mdclust_0.99.2.zip(r-4.6)mdclust_0.99.2.zip(r-4.5)
mdclust_0.99.2.tgz(r-4.6-x86_64)mdclust_0.99.2.tgz(r-4.6-arm64)mdclust_0.99.2.tgz(r-4.5-x86_64)mdclust_0.99.2.tgz(r-4.5-arm64)
mdclust_0.99.2.tar.gz(r-4.7-arm64)mdclust_0.99.2.tar.gz(r-4.7-x86_64)mdclust_0.99.2.tar.gz(r-4.6-arm64)mdclust_0.99.2.tar.gz(r-4.6-x86_64)
mdclust_0.99.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mdclust/json (API)

# Install 'mdclust' in R:

install.packages('mdclust', repos = c('https://biocstaging.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/herbermann/mdclust/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

On CRAN:

software clustering dimensionreduction quarto openblas cpp

3.00 score 2 scripts 1 exports 2 dependencies

Last updated from:01fe57f9df. Checks:1 WARNING, 13 OK. Indexed: yes.

Target	Result	Time
bioc-checks	WARNING	166
linux-devel-arm64	OK	184
linux-devel-x86_64	OK	147
source / vignettes	OK	221
linux-release-arm64	OK	147
linux-release-x86_64	OK	137
macos-release-arm64	OK	160
macos-release-x86_64	OK	203
macos-oldrel-arm64	OK	163
macos-oldrel-x86_64	OK	179
windows-devel	OK	144
windows-release	OK	136
windows-oldrel	OK	123
wasm-release	OK	145