umap: Uniform Manifold Approximation and Projection

Uniform manifold approximation and projection is a technique for dimension reduction. The algorithm was described by McInnes and Healy (2018) in <arXiv:1802.03426>. This package provides an interface for two implementations. One is written from scratch, including components for nearest-neighbor search and for embedding. The second implementation is a wrapper for 'python' package 'umap-learn' (requires separate installation, see vignette for more details).

Version:	0.2.9.0
Depends:	R (≥ 3.6.0)
Imports:	Matrix, methods, openssl, reticulate, Rcpp (≥ 0.12.6), RSpectra, stats
LinkingTo:	Rcpp
Suggests:	knitr, rmarkdown, testthat
Published:	2022-08-25
Author:	Tomasz Konopka [aut, cre]
Maintainer:	Tomasz Konopka <tokonopka at gmail.com>
BugReports:	https://github.com/tkonopka/umap/issues
License:	MIT + file LICENSE
URL:	https://github.com/tkonopka/umap
NeedsCompilation:	yes
CRAN checks:	umap results

Documentation:

Reference manual:	umap.pdf
Vignettes:	Uniform Manifold Approximation and Projection in R Interfacing with 'umap-learn'

Downloads:

Package source:	umap_0.2.9.0.tar.gz
Windows binaries:	r-devel: umap_0.2.9.0.zip, r-release: umap_0.2.9.0.zip, r-oldrel: umap_0.2.9.0.zip
macOS binaries:	r-release (arm64): umap_0.2.9.0.tgz, r-oldrel (arm64): umap_0.2.9.0.tgz, r-release (x86_64): umap_0.2.9.0.tgz, r-oldrel (x86_64): umap_0.2.9.0.tgz
Old sources:	umap archive

Reverse dependencies:

Reverse imports:	animalcules, CelliD, chameleon, ChromSCape, CytoTree, EmbedSOM, FateID, GEOexplorer, HIPPO, ILoReg, InterCellar, M3C, MatrixQCvis, Mercator, musclesyneRgies, RaceID, RCSL, RSDA, scDataviz, sRACIPE, tomoda
Reverse suggests:	cola, dimRed, HDCytoData, Platypus, ProjectionBasedClustering, seriation

Linking:

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