SimComp-package {SimComp} | R Documentation |
Simultaneous tests and confidence intervals for general linear hypotheses when there is more than one primary response variable (endpoint). The procedure of Hasler (2009) is applied for differences or ratios of means of normally distributed data. The covariance matrices (containing the covariances between the endpoints) may be assumed to be equal or possibly unequal for the different groups.
Package: | SimComp |
Type: | Package |
Version: | 1.3 |
Date: | 2009-03-25 |
License: | GPL |
LazyLoad: | yes |
Mario Hasler
Maintainer: Mario Hasler <hasler@email.uni-kiel.de>
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.
data(iris) comp <- SimTestRat(data=iris, grp="Species", alternative="greater", Margin=0.8) summary(comp)