SimComp-package {SimComp}R Documentation

Simultaneous Comparisons for Multiple Endpoints

Description

This package provides simultaneous tests and confidence intervals for one-way experimental designs with one or many normally distributed, primary response variables (endpoints). Means of several groups or dose levels can be compared

If many endpoints are to be analyzed, the covariance matrices (containing the covariances between the endpoints) may be assumed to be equal or unequal for the different groups. Exact or approximate multivariate t-distributions, respectively, are used for quantiles or p-values.

For example, the well-known conventional all-pair comparison of Tukey (1953) can be performed by specifying only a single endpoint and homogeneous (co-) variances. On the other hand, it's also possible to the same, but for many endpoints simultaneously, with heterogeneous covariance matrices and in terms of ratios.

For multiple comparisons of means of heteroscedastic data, see Hasler and Hothorn (2008). The test procedure for multiple endpoints is described by Hasler (2009).

Details

Package: SimComp
Type: Package
Version: 1.4.2
Date: 2009-10-22
License: GPL
LazyLoad: yes

Author(s)

Mario Hasler

Maintainer: Mario Hasler <hasler@email.uni-kiel.de>

References

Hasler, M. (2009): Extensions of Multiple Contrast Tests. PhD Thesis, Gottfried-Wilhelm-Leibniz-Universitaet Hannover.

Hasler, M. and Hothorn, L.A. (submitted): A Dunnett-type Procedure for Multiple Endpoints

Hasler, M. and Hothorn, L.A. (2008): Multiple contrast tests in the presence of heteroscedasticity. Biometrical Journal 50, 793-800.

See Also

mratios

Examples

data(iris)

comp <- SimTestRat(data=iris, grp="Species", alternative="greater", Margin=0.8)
summary(comp)

[Package SimComp version 1.4.2 Index]