Package: cellWise
Type: Package
Version: 2.2.0
Date: 2020-10-25
Title: Analyzing Data with Cellwise Outliers
Authors@R: c(
            person(given="Jakob",family="Raymaekers", role = c("aut","cre"),
            email="jakob.raymaekers@kuleuven.be"),
            person(given="Peter",family="Rousseeuw", role = c("aut")),
            person(given="Wannes",family="Van den Bossche", role = c("aut")),
            person(given="Mia",family="Hubert", role = c("aut")) 
             )
Depends: R (>= 3.2.0)
Suggests: knitr, robustHD, MASS, ellipse, markdown
Imports: reshape2, scales, ggplot2, matrixStats, gridExtra, robustbase,
        rrcov, svd, stats, Rcpp (>= 0.12.10.14)
LinkingTo: Rcpp, RcppArmadillo (>= 0.7.600.1.0)
Description: Tools for detecting cellwise outliers and robust methods to analyze
    data which may contain them. Contains the implementation of the algorithms described
    in Rousseeuw and Van den Bossche (2018) <doi:10.1080/00401706.2017.1340909>,
    Hubert et al. (2019) <doi:10.1080/00401706.2018.1562989>,
    Raymaekers and Rousseeuw (2019) <doi:10.1080/00401706.2019.1677270>,
    Raymaekers and Rousseeuw (2020) <arXiv:2005.07946>.
License: GPL (>= 2)
LazyLoad: yes
Author: Jakob Raymaekers [aut, cre],
  Peter Rousseeuw [aut],
  Wannes Van den Bossche [aut],
  Mia Hubert [aut]
Maintainer: Jakob Raymaekers <jakob.raymaekers@kuleuven.be>
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2020-10-27 21:14:06 UTC; u0105404
Repository: CRAN
Date/Publication: 2020-10-27 22:10:03 UTC
