CompQuadForm, dplyr, magrittr, Rcpp (>= 0.11.3), rje,
survival, zoo

Klaus Nordhausen, Seija Sirkia, Hannu Oja, Dave Tyler
Tools for multivariate nonparametrics, as location tests based on marginal ranks, spatial median and spatial signs computation, Hotelling's T-test, estimates of shape

Klaus Nordhausen, Seija Sirkia, Hannu Oja, David E. Tyler

Tools for multivariate nonparametrics, as location tests
based on marginal ranks, spatial median and spatial signs
computation, Hotelling's T-test, estimates of shape

Tools for multivariate nonparametrics, as location tests based on marginal ranks, spatial median and spatial signs computation, Hotelling's T-test, estimates of shape are implemented.

Outlier Detection Using Invariant Coordinate Selection
Aurore Archimbaud, Klaus Nordhausen, Anne Ruiz-Gazen
Multivariate outlier detection is performed using invariant coordinates where the package offers different methods to choose the appropriate components.

person(given = "Siegfried", family = "Köstlmeier", role = c("aut", "cre", "cph"), email = "siegfried.koestlmeier@gmail.com", comment = c(ORCID = "0000-0002-7221-6981"))
The Iterative Cumulative Sum of Squares (ICSS) algorithm by Inclan/Tiao (1994) <https://www.jstor.org/stable/2290916> detects multiple change points, i.e. structural break points, in the variance of a sequence of independent observations. For series of moderate size (i.e. 200 observations and beyond), the ICSS algorithm offers results comparable to those obtained by a Bayesian approach or by likelihood ration tests, without the heavy computational burden required by these approaches.
Siegfried Köstlmeier [aut, cre, cph]
(<https://orcid.org/0000-0002-7221-6981>)

Aurore Archimbaud, Joris May, Klaus Nordhausen, Anne Ruiz-Gazen
Performs Invariant Coordinate Selection (ICS) (Tyler, Critchley, Duembgen and Oja (2009) <doi:10.1111/j.1467-9868.2009.00706.x>) and especially ICS outlier identification (Archimbaud, Nordhausen, Ruiz-Gazen (2016) <arXiv:1612.06118>) using a shiny app.

Performs Invariant Coordinate Selection (ICS) (Tyler, Critchley, Duembgen and Oja (2009) <doi:10.1111/j.1467-9868.2009.00706.x>) and especially ICS for multivariate outlier detection with application to quality control (Archimbaud, Nordhausen, Ruiz-Gazen (2016) <arXiv:1612.06118>) using a shiny app.