Robust multivariate Methods for High Dimensional Data
Robust multivariate methods for high dimensional data:
outlier detection, PCA, PLS, classification

rrcov (>= 1.3-7), robustbase (>= 0.92-1), methods

Robust Multivariate Methods for High Dimensional Data
Robust multivariate methods for high dimensional data including
outlier detection, PCA, PLS and classification.

stats4, pls, spls, pcaPP, robustHD, Rcpp

Robust multivariate methods for high dimensional data including
outlier detection (Filzmoser and Todorov (2013) <doi:10.1016/j.ins.2012.10.017>),
robust sparse PCA (Croux et al. (2013) <doi:10.1080/00401706.2012.727746>, Todorov and Filzmoser (2013) <doi:10.1007/978-3-642-33042-1_31>),
robust PLS (Todorov and Filzmoser (2014) <doi:10.17713/ajs.v43i4.44>),
and robust sparse classification (Ortner et al. (2020) <doi:10.1007/s10618-019-00666-8>).

Scalable Robust Estimators with High Breakdown Point for
Incomplete Data
Robust Location and Scatter Estimation and Robust
Multivariate Analysis with High Breakdown Point for Incomplete
Data

Robust Location and Scatter Estimation and Robust
Multivariate Analysis with High Breakdown Point for Incomplete
Data (missing values) (Todorov et al. (2010) <doi:10.1007/s11634-010-0075-2>).

Robust Location and Scatter Estimation and Robust
Multivariate Analysis with High Breakdown Point for Incomplete
Data.

Import Data from a RRD (Round Robin Database) File
c(person("Andrie", "de Vries", email = "apdevries@gmail.com",
role = c("cre", "cph")), person("Plamen", "Dimitrov",
email = "dim.plamen@gmail.com", role = c("aut", "cph")))
Makes it easy to import the data from a 'RRD' database
(<https://oss.oetiker.ch/rrdtool/>) directly into R data structures. The
resulting objects are 'tibble' objects or a list of 'tibble' objects, making
it easy to manipulate the data.
Andrie de Vries [cre, cph],
Plamen Dimitrov [aut, cph]

c(
person("Andrie", "de Vries", email = "apdevries@gmail.com", role = c("cre", "cph")),
person("Plamen", "Dimitrov", email = "dim.plamen@gmail.com", role = c("aut", "cph")),
person("Tobias", "Oettiker", role = "cph", comment = "rrdtool and rrd library, https://oss.oetiker.ch/rrdtool/")
)
Makes it easy to import the data from a 'RRD' database
(<https://oss.oetiker.ch/rrdtool/>) directly into R data structures. The
resulting objects are 'tibble' objects or a list of 'tibble' objects, making
it easy to manipulate the data.  The package uses `librrd` to import the
numerical data in a `RRD` database directly into R data structures without
using intermediate formats.
The package depends on libraries from the RRD
project <http://oss.oetiker.ch/rrdtool/>. On Debian-based
systems, install 'librrd-dev', on CentOS based systems install
'rrdtool-devel', and on Fedora-based systems install
'rrdtool-devel'
<https://apps.fedoraproject.org/packages/rrdtool-devel>. For
more information, see the README.
Andrie de Vries [cre, cph],
Plamen Dimitrov [aut, cph],
Tobias Oettiker [cph] (rrdtool and rrd library,
https://oss.oetiker.ch/rrdtool/)