Title: Calculation of Minimum Averaged Mean Squared Error (MAMSE)
Description: This package calculates the nonparametric adaptive MAMSE
weights for univariate, right-censored or multivariate data.
The MAMSE weights can be used in a weighted likelihood or to
define a mixture of empirical distribution functions.

Description: Calculates the nonparametric adaptive MAMSE
define a mixture of empirical distribution functions. The package
includes functions for the MAMSE weighted Kaplan-Meier estimate

Title: Matrix Analysis and Normalization by Concordant Information
Description: High-dimensional data integration is a critical but difficult problem in genomics research because of potential biases from high-throughput experiments. We present MANCIE, a computational method for integrating two genomic data sets with homogenous dimensions from different sources based on a PCA procedure as an approximation to a Bayesian approach.

Title: Analysis of Multivariate Data and Repeated Measures Designs
Description: Implemented are various tests for semi-parametric repeated measures
and general MANOVA designs that do neither assume multivariate normality nor
covariance homogeneity, i.e., the procedures are applicable for a wide range
of general multivariate factorial designs.

(>= 1.5-6), plotrix (>= 3.5-12), parallel, methods

(>= 1.5-6), plotrix (>= 3.5-12), parallel, methods, ellipse
Suggests: RGtk2 (>= 2.20.31), knitr, rmarkdown, HSAUR, tidyr

Suggests: RGtk2 (>= 2.20.31), knitr, rmarkdown, HSAUR, tidyr, GFD

Suggests: RGtk2 (>= 2.20.31), knitr, rmarkdown, HSAUR, tidyr, GFD,

of general multivariate factorial designs. Furthermore, post-hoc comparisons
are provided for the multivariate analyses.
Friedrich, S., Konietschke, F. and Pauly, M. (2018) <arXiv:1801.08002>.
(>= 1.5-6), plotrix (>= 3.5-12), parallel, methods, ellipse,

Title: Resampling-Based Analysis of Multivariate Data and Repeated
of general multivariate factorial designs. In addition to asymptotic inference
methods, novel bootstrap and permutation approaches are implemented as well. These provide more
accurate results in case of small to moderate sample sizes. Furthermore, post-hoc
comparisons are provided for the multivariate analyses.