Package: ltsspca
Type: Package
Title: Sparse Principal Component Based on Least Trimmed Squares
Version: 0.1.0
Date: 2019-09-13
Authors@R: c(
            person(given="Yixin",family="Wang", role = c("aut","cre"),
            email="wangyixin07@outlook.com"),
            person(given="Stefan",family="Van Aelst", role = c("aut"),
            email="stefan.vanaelst@kuleuven.be"),
            person(given="Holger",family="Cevallos Valdiviezo",role=c("ctb"), 
            comment = "Original R code for the LTS-PCA algorithm"),
            person(given="Tom",family="Reynkens",role=c("ctb"), 
            comment = "Original R code for angle in the rospca package")
             )
Depends: R (>= 3.2.0)
Maintainer: Yixin Wang <wangyixin07@outlook.com>
Description: Implementation of robust and sparse PCA algorithm of Wang and Van Aelst (2019) <DOI:10.1080/00401706.2019.1671234>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: yes
VignetteBuilder: knitr
Suggests: robustbase, rrcov, stats, mvtnorm, graphics, knitr,
        rmarkdown, testthat
Imports: Rcpp (>= 1.0.1),pracma
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-10-07 19:44:19 UTC; wangy
Author: Yixin Wang [aut, cre],
  Stefan Van Aelst [aut],
  Holger Cevallos Valdiviezo [ctb] (Original R code for the LTS-PCA
    algorithm),
  Tom Reynkens [ctb] (Original R code for angle in the rospca package)
Repository: CRAN
Date/Publication: 2019-10-09 13:20:02 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 05:27:07 UTC; windows
Archs: i386, x64
