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.

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Description file content

Package
dyndimred
Type
Package
Title
Dimensionality Reduction Methods in a Common Format
Version
1.0.2
Description
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.
License
GPL-3
Encoding
UTF-8
LazyData
true
Imports
dynutils (>= 1.0.3), irlba
Suggests
testthat, destiny, diffusionMap, fastICA, lle, MASS, Matrix, Rtsne, smacof, uwot
RoxygenNote
6.1.1
URL
BugReports
https://github.com/dynverse/dyndimred/issues
NeedsCompilation
no
Packaged
2019-08-07 09:15:44 UTC; rcannood
Author
Robrecht Cannoodt [aut] (, rcannood), Wouter Saelens [aut, cre] (, zouter)
Maintainer
Wouter Saelens
Repository
CRAN
Date/Publication
2019-08-07 09:40:02 UTC

install.packages('dyndimred')

1.0.2

14 days ago

http://github.com/dynverse/dyndimred

Wouter Saelens

GPL-3

Imports

dynutils (>= 1.0.3), irlba

Suggests

testthat, destiny, diffusionMap, fastICA, lle, MASS, Matrix, Rtsne, smacof, uwot

Discussions