dyndimred: Dimensionality Reduction Methods in a Common Format

Provides a common interface for applying dimensionality reduction methods, such as Principal Component Analysis ('PCA'), Independent Component Analysis ('ICA'), diffusion maps, Locally-Linear Embedding ('LLE'), t-distributed Stochastic Neighbor Embedding ('t-SNE'), and Uniform Manifold Approximation and Projection ('UMAP'). Has built-in support for sparse matrices.

Version: 1.0.2
Imports: dynutils (≥ 1.0.3), irlba
Suggests: testthat, destiny, diffusionMap, fastICA, lle, MASS, Matrix, Rtsne, smacof, uwot
Published: 2019-08-07
Author: Robrecht Cannoodt ORCID iD [aut] (rcannood), Wouter Saelens ORCID iD [aut, cre] (zouter)
Maintainer: Wouter Saelens <wouter.saelens at gmail.com>
BugReports: https://github.com/dynverse/dyndimred/issues
License: GPL-3
URL: http://github.com/dynverse/dyndimred
NeedsCompilation: no
Materials: README NEWS
CRAN checks: dyndimred results

Downloads:

Reference manual: dyndimred.pdf
Package source: dyndimred_1.0.2.tar.gz
Windows binaries: r-devel: dyndimred_1.0.2.zip, r-release: dyndimred_1.0.2.zip, r-oldrel: dyndimred_1.0.2.zip
OS X binaries: r-release: not available, r-oldrel: dyndimred_1.0.2.tgz
Old sources: dyndimred archive

Reverse dependencies:

Reverse imports: SCORPIUS

Linking:

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