Multivariate post-hoc comparisons and simultaneous confidence intervals for contrasts in multivariate factorial designs
simCI(object, contrast = c("pairwise", "user-defined"), contmat = NULL,
type = NULL, base = 1, ...)A MANOVA object.
The contrast matrix of interest, can either be "pairwise" or "user-defined".
If contrast = "user-defined", the contrast matrix must be specified here. Note that its rows must sum to zero.
If contrast is "pairwise", the type of the pairwise comparison must be specified here. Calculation is based on the contrMat function in package multcomp, see the corresponding help page for details on the types of contrasts available.
an interger specifying which group is considered the baseline group
for Dunnett contrasts, see contrMat.
Not used yet.
Multivariate p-values and simultaneous confidence intervals for the chosen contrasts.
The simCI() function computes the multivariate p-values for the chosen contrast of the multivariate mean vector based on the bootstrap version of the sum statistic. Details on this test can be found in Friedrich and Pauly (2018). Furthermore, confidence intervals for summary effects (i.e., averaged over each dimension), also based on the bootstrap version of the sum statistic, are returned as well.
Friedrich, S., and Pauly, M. (2018). MATS: Inference for potentially singular and heteroscedastic MANOVA. Journal of Multivariate Analysis, 165, 166-179.