Maximum Likelihood Principal Component Analysis R package RMLPCA version 0.0.1 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>. Software Depends: R (>= 2.10) Imports: base, Matrix, pracma, RSpectra Suggests: testthat, knitr, rmarkdown Renan Santos Barbosa <renansantosbarbosa@usp.br> Comprehensive R Archive Network (CRAN) Renan Santos Barbosa [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=RMLPCA/LICENSE) 2020-11-05 application/tgz https://CRAN.R-project.org/package=RMLPCA doi:10.32614/CRAN.package.RMLPCA