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-any)lmds_0.1.1.zip(r-4.6-any)lmds_0.1.1.zip(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
lmds/json (API)

# 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 560 downloads 5 mentions 3 exports 29 dependencies

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

TargetResultTimeFilesSyslog
linux-develWARNING181
source / vignettesOK184
linux-releaseWARNING181
macos-releaseWARNING101
macos-oldrelWARNING128
windows-develWARNING183
windows-releaseWARNING177
windows-oldrelWARNING182
wasm-releaseOK152

Exports:cmdscale_landmarkslmdsselect_landmarks

Dependencies:assertthatclicrayondescdplyrdynutilsgenericsglueirlbalatticelifecyclemagrittrMatrixpillarpkgconfigproxyCpurrrR6RcppRcppArmadilloremotesrlangstringistringrtibbletidyselectutf8vctrswithr