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>.
Version: 0.0.1 Depends: R (≥ 2.10) Imports: base, Matrix, pracma, RSpectra Suggests: testthat, knitr, rmarkdown Published: 2020-11-05 DOI: 10.32614/CRAN.package.RMLPCA Author: Renan Santos Barbosa [aut, cre] Maintainer: Renan Santos Barbosa <renansantosbarbosa at usp.br> BugReports: https://github.com/renanestatcamp/RMLPCA/issues License: MIT + file LICENSE URL: https://github.com/renanestatcamp/RMLPCA NeedsCompilation: no Materials: README NEWS CRAN checks: RMLPCA results Documentation: Reference manual: RMLPCA.pdf Downloads: Package source: RMLPCA_0.0.1.tar.gz Windows binaries: r-devel: RMLPCA_0.0.1.zip, r-release: RMLPCA_0.0.1.zip, r-oldrel: RMLPCA_0.0.1.zip macOS binaries: r-release (arm64): RMLPCA_0.0.1.tgz, r-oldrel (arm64): RMLPCA_0.0.1.tgz, r-release (x86_64): RMLPCA_0.0.1.tgz, r-oldrel (x86_64): RMLPCA_0.0.1.tgz Linking:Please use the canonical form https://CRAN.R-project.org/package=RMLPCA to link to this page.
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