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) .


Reference manual

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0.0.1 by Renan Santos Barbosa, a year ago

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Authors: Renan Santos Barbosa [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports base, Matrix, pracma, RSpectra

Suggests testthat, knitr, rmarkdown

See at CRAN