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: 1.0.4
Imports: dynutils (≥ 1.0.5), irlba, lmds, stats, tibble
Suggests: testthat, diffusionMap, fastICA, igraph, lle, MASS, Matrix, RANN, Rtsne, smacof, uwot
Published: 2021-03-23
Author: Robrecht Cannoodt ORCID iD [aut, cre] (rcannood), Wouter Saelens ORCID iD [aut] (zouter)
Maintainer: Robrecht Cannoodt <rcannood at gmail.com>
BugReports: https://github.com/dynverse/dyndimred/issues
License: MIT + file LICENSE
URL: https://github.com/dynverse/dyndimred
NeedsCompilation: no
Materials: README NEWS
CRAN checks: dyndimred results

Downloads:

Reference manual: dyndimred.pdf
Package source: dyndimred_1.0.4.tar.gz
Windows binaries: r-devel: dyndimred_1.0.4.zip, r-release: dyndimred_1.0.4.zip, r-oldrel: dyndimred_1.0.4.zip
macOS binaries: r-release (arm64): dyndimred_1.0.4.tgz, r-release (x86_64): dyndimred_1.0.4.tgz, r-oldrel: dyndimred_1.0.4.tgz
Old sources: dyndimred archive

Reverse dependencies:

Reverse imports: dynplot
Reverse suggests: dynwrap

Linking:

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