Packaged: 2021-07-12 13:17:52 UTC; homeoffice

Packaged: 2021-07-15 08:59:17 UTC; homeoffice

Title: Multivariate Nonparametric Methods. An Approach Based on Spatial
Author: Klaus Nordhausen, Jyrki Mottonen, Hannu Oja
Depends: R (>= 2.9.2), ellipse, ICS, ICSNP, SpatialNP, mvtnorm, survey
Description: The package provides multivariate tests, estimates and
methods based on the identity score, spatial sign score and
spatial rank score. The methods include one and c-sample
problems, shape estimation and testing, linear regression and

Description: The package provides multivariate tests, estimates and methods based on the identity score, spatial sign score and spatial rank score. The methods include one and c-sample problems, shape estimation and testing, linear regression and principal components.

Description: Multivariate tests, estimates and methods based on the identity score, spatial sign score and spatial rank score are provided. The methods include one and c-sample problems, shape estimation and testing, linear regression and principal components.

Description: Multivariate tests, estimates and methods based on the identity score, spatial sign score and spatial rank score are provided. The methods include one and c-sample problems, shape estimation and testing, linear regression and principal components. The methodology is described in Oja (2010) <doi:10.1007/978-1-4419-0468-3> and Nordhausen and Oja (2011) <doi:10.18637/jss.v043.i05>.

Title: MNP: R Package for Fitting the Multinomial Probit Models
Description: MNP is a publicly available R package that fits the
Bayesian Multinomial Probit models via Markov chain Monte Carlo. Along
with the standard Multinomial Probit model, it can also fit models
with different choice sets for each observation and complete or
partial ordering of all the available alternatives. The estimation
is based on the efficient marginal data augmentation algorithm that
is developed by Imai and van Dyk (2004).
Packaged: Sat Jun 26 12:45:23 2004; kimai

Packaged: Tue Jun 29 15:00:10 2004; kimai