Nothing
nipals: Principal Components Analysis using NIPALS or Weighted EMPCA, with Gram-Schmidt Orthogonalization
Principal Components Analysis of a matrix using Non-linear Iterative Partial Least Squares or weighted Expectation Maximization PCA with Gram-Schmidt orthogonalization of the scores and loadings. Optimized for speed. See Andrecut (2009) <doi:10.1089/cmb.2008.0221>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Kevin Wright [aut, cre] (<https://orcid.org/0000-0002-0617-8673>) |
| Maintainer | Kevin Wright <kw.stat@gmail.com> |
| License | GPL-3 |
| Version | 0.8 |
| URL | https://kwstat.github.io/nipals/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the nipals package in your browser
Any scripts or data that you put into this service are public.
