dyndimred: Dimensionality Reduction Methods in a Common Format (original) (raw)

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
DOI: 10.32614/CRAN.package.dyndimred
Author: Robrecht Cannoodt ORCID iD [aut, cre] (rcannood), Wouter Saelens ORCID iD [aut] (zouter)
Maintainer: Robrecht Cannoodt
BugReports: https://github.com/dynverse/dyndimred/issues
License: MIT + file
URL: https://github.com/dynverse/dyndimred
NeedsCompilation: no
Materials: README NEWS
CRAN checks: dyndimred results

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