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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Renan Santos Barbosa, a year ago
Report a bug at https://github.com/renanestatcamp/RMLPCA/issues
Browse source code at
Renan Santos Barbosa [aut, cre]
MIT + file LICENSE
Imports base, Matrix, pracma, RSpectra
Suggests testthat, knitr, rmarkdown
See at CRAN