Rdimtools: An R package for Dimension Reduction and Intrinsic Dimension Estimation
This package addresses the need for accessible and comprehensive tools for dimension reduction and intrinsic dimension estimation in R, primarily for researchers and data analysts, but it is incremental as it aggregates existing methods rather than introducing new ones.
The authors tackled the problem of analyzing complex high-dimensional data by developing Rdimtools, an R package that provides 133 dimension reduction and 17 intrinsic dimension estimation algorithms, making multifaceted data scrutiny easier in one place.
Discovering patterns of the complex high-dimensional data is a long-standing problem. Dimension Reduction (DR) and Intrinsic Dimension Estimation (IDE) are two fundamental thematic programs that facilitate geometric understanding of the data. We present Rdimtools - an R package that supports 133 DR and 17 IDE algorithms whose extent makes multifaceted scrutiny of the data in one place easier. Rdimtools is distributed under the MIT license and is accessible from CRAN, GitHub, and its package website, all of which deliver instruction for installation, self-contained examples, and API documentation.