Nothing
R implementation of Maximum Likelihood Principal Component Analysis The main idea of this package is to have an alternative way of PCA for subspace modeling that considers measurement errors. More details can be found in Peter D. Wentzell (2009) <doi:10.1016/B978-0-444-64165-6.03029-9>.
Package details |
|
---|---|
Author | Renan Santos Barbosa [aut, cre] |
Maintainer | Renan Santos Barbosa <renansantosbarbosa@usp.br> |
License | MIT + file LICENSE |
Version | 0.0.1 |
URL | https://github.com/renanestatcamp/RMLPCA |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.