sciences. Nonparametric methods do not require distributional
assumptions, and are applicable to a variety of data types
(continuous, discrete, purely ordinal, and dichotomous).  Such
methods are also robust with respect to outliers and for small

Author: Kimihiro Noguchi <kinoguchi@ucdavis.edu>, Mahbub Latif

Author: Kimihiro Noguchi <noguchk@wwu.edu>, Mahbub Latif
Frank Konietschke <frank.konietschke@charite.de>, Yulia R. Gel

Title: Nonparametric Analysis of Multivariate Data in Factorial Designs
Imports: matrixStats, matrixcalc, MASS, gtools, Formula, methods, stats
Author: Maximilian Kiefel and Arne C. Bathke
Description: Analysis of multivariate data with two-way completely randomized
factorial design. The analysis is based on fully nonparametric, rank-based
methods and uses test statistics based on the Dempster's ANOVA, Wilk's Lambda,
Lawley-Hotelling and Bartlett-Nanda-Pillai criteria. The multivariate
response is allowed to be ordinal, quantitative, binary or a mixture of the
different variable types. The package offers two functions performing the
analysis, one for small and the other for large sample sizes. The underlying methodology
is largely described in Bathke and Harrar (2016) <doi:10.1007/978-3-319-39065-9_7> and in

Package: nparcomp
Type: Package
Title: nparcomp-package
Version: 1.0-0
Date: 2008-05-04
Author: Frank Konietschke
Maintainer: Frank Konietschke <fkoniet@gwdg.de>
Depends: multcomp, mvtnorm
Description: With this package, it is possible to compute nonparametric simultaneous
confidence intervals for relative contrast effects in the unbalanced one way layout.
Moreover, it computes simultaneous p-values. The simultaneous confidence intervals can
be computed using multivariate normal distribution, multivariate t-distribution with a Satterthwaite
Approximation of the degree of freedom or using multivariate range preserving transformations with
Logit or Probit as transformation function. 2 sample comparisons can be performed with the same
methods described above. There is no assumption on the underlying distribution function, only that
the data have to be at least ordinal numbers.
License: GPL
Packaged: Tue May  6 11:45:42 2008; manager