Dimensionality Reduction Methods in a Common Format R package dyndimred version 1.0.4 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. Software Imports: dynutils (>= 1.0.5), irlba, lmds, stats, tibble Suggests: testthat, diffusionMap, fastICA, igraph, lle, MASS, Matrix, RANN, Rtsne, smacof, uwot Robrecht Cannoodt <rcannood@gmail.com> Comprehensive R Archive Network (CRAN) Robrecht Cannoodt [aut, cre] (ORCID: <https://orcid.org/0000-0003-3641-729X>, github: rcannood), Wouter Saelens [aut] (ORCID: <https://orcid.org/0000-0002-7114-6248>, github: zouter) MIT + file LICENSE (https://CRAN.R-project.org/package=dyndimred/LICENSE) 2021-03-23 application/tgz https://CRAN.R-project.org/package=dyndimred doi:10.32614/CRAN.package.dyndimred