Package: lmds 0.1.1

Robrecht Cannoodt

lmds: Landmark Multi-Dimensional Scaling

A fast dimensionality reduction method scaleable to large numbers of samples. Landmark Multi-Dimensional Scaling (LMDS) is an extension of classical Torgerson MDS, but rather than calculating a complete distance matrix between all pairs of samples, only the distances between a set of landmarks and the samples are calculated.

Authors:Robrecht Cannoodt [aut, cre], Wouter Saelens [aut]

lmds_0.1.1.tar.gz
lmds_0.1.1.zip(r-4.7)lmds_0.1.1.zip(r-4.6)lmds_0.1.1.zip(r-4.5)
lmds_0.1.1.tgz(r-4.6-any)lmds_0.1.1.tgz(r-4.5-any)
lmds_0.1.1.tar.gz(r-4.7-any)lmds_0.1.1.tar.gz(r-4.6-any)
lmds_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
lmds/json (API)
NEWS

# Install 'lmds' in R:
install.packages('lmds', repos = c('https://dynverse.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dynverse/lmds/issues

Pkgdown/docs site:https://dynverse.org

On CRAN:

Conda:

5.08 score 8 stars 2 packages 10 scripts 307 downloads 5 mentions 3 exports 29 dependencies

Last updated from:89b9ca2ea9. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING141
source / vignettesOK166
linux-release-x86_64WARNING128
macos-release-arm64WARNING127
macos-oldrel-arm64WARNING109
windows-develWARNING91
windows-releaseWARNING101
windows-oldrelWARNING91
wasm-releaseOK105

Exports:cmdscale_landmarkslmdsselect_landmarks

Dependencies:assertthatclicrayondescdplyrdynutilsgenericsglueirlbalatticelifecyclemagrittrMatrixpillarpkgconfigproxyCpurrrR6RcppRcppArmadilloremotesrlangstringistringrtibbletidyselectutf8vctrswithr