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
RoxygenNote: 7.1.1
Suggests: testthat, knitr, rmarkdown
Imports: base, Matrix, pracma, RSpectra
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-10-29 00:36:56 UTC; renan
Author: Renan Santos Barbosa [aut, cre]
Maintainer: Renan Santos Barbosa <renansantosbarbosa@usp.br>
Repository: CRAN
Date/Publication: 2020-11-05 08:10:02 UTC
Built: R 4.6.0; ; 2026-04-26 01:47:31 UTC; unix
