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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 
[aut, cre] (rcannood),
Wouter Saelens
[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 |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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https://CRAN.R-project.org/package=dyndimred
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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