Package: dyndimred 1.0.4

Robrecht Cannoodt

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.

Authors:Robrecht Cannoodt [aut, cre], Wouter Saelens [aut]

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NEWS

Peer review:

Bug tracker:https://github.com/dynverse/dyndimred/issues

On CRAN:

15 exports 7 stars 1.40 score 31 dependencies 21 scripts 313 downloads

Last updated 3 years agofrom:b85e9f42a7. Checks:OK: 1 NOTE: 5 ERROR: 1. Indexed: yes.

Exports:dimreddimred_dm_destinydimred_dm_diffusionmapdimred_icadimred_knn_frdimred_landmark_mdsdimred_lledimred_mdsdimred_mds_isomdsdimred_mds_sammondimred_mds_smacofdimred_pcadimred_tsnedimred_umaplist_dimred_methods

Dependencies:assertthatclicrayondescdplyrdynutilsfansigenericsglueirlbalatticelifecyclelmdsmagrittrMatrixpillarpkgconfigproxyCpurrrR6RcppRcppArmadilloremotesrlangstringistringrtibbletidyselectutf8vctrswithr