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-4.5)lmds_0.1.1.zip(r-4.4)lmds_0.1.1.zip(r-4.3)
lmds_0.1.1.tgz(r-4.4-any)lmds_0.1.1.tgz(r-4.3-any)
lmds_0.1.1.tar.gz(r-4.5-noble)lmds_0.1.1.tar.gz(r-4.4-noble)
lmds_0.1.1.tgz(r-4.4-emscripten)lmds_0.1.1.tgz(r-4.3-emscripten)
lmds.pdf |lmds.html✨
lmds/json (API)
NEWS

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

Peer review:

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

On CRAN:

5.26 score 8 stars 3 packages 10 scripts 432 downloads 5 mentions 3 exports 30 dependencies

Last updated 1 years agofrom:89b9ca2ea9. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 15 2024
R-4.5-winWARNINGNov 15 2024
R-4.5-linuxWARNINGNov 15 2024
R-4.4-winWARNINGNov 15 2024
R-4.4-macWARNINGNov 15 2024
R-4.3-winWARNINGNov 15 2024
R-4.3-macWARNINGNov 15 2024

Exports:cmdscale_landmarkslmdsselect_landmarks

Dependencies:assertthatclicrayondescdplyrdynutilsfansigenericsglueirlbalatticelifecyclemagrittrMatrixpillarpkgconfigproxyCpurrrR6RcppRcppArmadilloremotesrlangstringistringrtibbletidyselectutf8vctrswithr