Package: RMLPCA
Title: Maximum Likelihood Principal Component Analysis
Version: 0.0.1
Authors@R: 
    person(given = "Renan",
           family = "Santos Barbosa",
           role = c("aut", "cre"),
           email = "renansantosbarbosa@usp.br")
Description: 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>.
URL: https://github.com/renanestatcamp/RMLPCA
BugReports: https://github.com/renanestatcamp/RMLPCA/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1
Suggests: testthat, knitr, rmarkdown
Imports: base, Matrix, pracma, RSpectra
Depends: R (>= 2.10)
Repository: https://renands.r-universe.dev
Date/Publication: 2021-05-31 19:22:13 UTC
RemoteUrl: https://github.com/renands/rmlpca
RemoteRef: HEAD
RemoteSha: 039d34002fe4b98688869184e5139a3b842bfa00
NeedsCompilation: no
Packaged: 2026-10-19 09:37:23 UTC; root
Author: Renan Santos Barbosa [aut, cre]
Maintainer: Renan Santos Barbosa <renansantosbarbosa@usp.br>