Title: Analyzing Data with Cellwise Outliers
person(given="Wannes",family="Van den Bossche", role = c("aut"))
Suggests: knitr, robustHD, robustbase, rrcov, MASS
Imports: reshape2, scales, ggplot2, matrixStats, gridExtra
Description: Tools for detecting cellwise outliers and robust methods to analyze data which may contain them.

Suggests: knitr, robustHD, robustbase, rrcov, MASS, svd, ellipse
Imports: reshape2, scales, ggplot2, matrixStats, gridExtra, Rcpp (>=
LinkingTo: Rcpp, RcppArmadillo (>= 0.7.600.1.0)

person(given="Wannes",family="Van den Bossche", role = c("aut")),
Suggests: knitr, robustHD, MASS, ellipse
Imports: reshape2, scales, ggplot2, matrixStats, gridExtra, robustbase,

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>.

Suggests: knitr, robustHD, MASS, ellipse, markdown
Description: Tools for detecting cellwise outliers and robust methods to analyze
data which may contain them. Contains the implementation of the algorithms described
Raymaekers and Rousseeuw (2020) <arXiv:2005.07946>.

person(given="Wannes",family="Van den Bossche", role = c("ctb")),
Suggests: knitr, robustHD, MASS, ellipse, markdown, rospca
data which may contain them. Contains the implementation of the algorithms described in
Raymaekers and Rousseeuw (2020) <arXiv:2005.07946> (open access).
"DDC_examples", "MacroPCA_examples", "Wrap_examples" and "transfo_examples".

Suggests: knitr, robustHD, MASS, ellipse, markdown, rospca, GSE
Raymaekers and Rousseeuw (2020) <arXiv:2005.07946> (open access),
Raymaekers and Rousseeuw (2020) <arXiv:1912.12446> (open access).
"DDC_examples", "MacroPCA_examples", "wrap_examples" and "transfo_examples".

"DDC_examples", "MacroPCA_examples", "wrap_examples", "transfo_examples" and "DI_examples".