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) .


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install.packages("RMLPCA")

0.0.1 by Renan Santos Barbosa, 9 months ago


https://github.com/renanestatcamp/RMLPCA


Report a bug at https://github.com/renanestatcamp/RMLPCA/issues


Browse source code at https://github.com/cran/RMLPCA


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