Title: Normality test for multivariate variables
Description: Generalization of shapiro-wilk test for multivariate variables.

Description: Generalization of shapiro-wilk test for multivariate

Title: Generate New Multivariate Normal Samples from Permutations
Description: Given a vector of multivariate normal data, a matrix of
covariates and the data covariance matrix, generate new multivariate normal
samples that have the same covariance matrix based on permutations of

Authors@R: person("Mark", "Abney", email = "abney@uchicago.edu",

Title: Multivariate Ordinal Regression Models
Description: A flexible framework for fitting multivariate
ordinal regression models with composite likelihood methods.

Imports: MASS, pbivnorm, stats, optimx, mnormt

Imports: MASS, pbivnorm, stats, optimx, mnormt, numDeriv, Matrix

Depends: minqa, BB, ucminf, dfoptim, R (>= 3.1.0)

Suggests: knitr, rmarkdown, xtable, colorspace

ordinal regression models with composite likelihood methods. Methodological details are given in Hirk, Hornik, Vana (2020) <doi:10.18637/jss.v093.i04>.

Depends: R (>= 3.5.0), minqa, BB, ucminf, dfoptim

Depends: minqa, BB, ucminf, dfoptim, R (>= 3.5.0)

Title: Multivariate outlier detection based on robust methods
Author: Moritz Gschwandtner <e0125439@student.tuwien.ac.at> and
Description: This packages was made for outlier detection using robust estimations
Packaged: Thu Nov 11 10:05:33 2004; root

Packaged: Tue May 31 06:47:04 2005; root

Depends: R (>= 1.9.0), robustbase, stats
Packaged: Thu Apr 26 20:46:36 2007; root

Packaged: Mon Apr 23 20:31:59 2007; root

Description: This packages was made for multivariate outlier detection.
Packaged: Tue May 15 07:16:40 2007; root

Packaged: Wed Jan 21 17:28:51 2009; filz

Author: Moritz Gschwandtner <e0125439@student.tuwien.ac.at> and Peter

Author: Peter Filzmoser <P.Filzmoser@tuwien.ac.at> and Moritz
Depends: R (>= 2.10), robustbase, compositions, robCompositions

Depends: robustbase, compositions, robCompositions, R (>= 2.10)

Author: Peter Filzmoser <P.Filzmoser@tuwien.ac.at> and