renands/RMLPCA: Maximum Likelihood Principal Component Analysis
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>.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | MIT + file LICENSE |
| Version | 0.0.1 |
| URL | https://github.com/renanestatcamp/RMLPCA |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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