Title: Simultaneous Comparisons for Multiple Endpoints
Description: Simultaneous tests and confidence intervals for general
linear hypotheses when there is more than one primary
response variable (endpoint). The procedure of Hasler
(2008) 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
Packaged: Fri Oct 24 12:47:43 2008; Mario

Packaged: Mon Nov 24 18:14:42 2008; Mario

Packaged: Tue Nov 25 14:18:39 2008; Mario

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
Packaged: Wed Mar 25 12:25:14 2009; Mario

Packaged: Wed Oct 14 16:16:31 2009; Mario

Description: Simultaneous tests and confidence intervals for one-way
experimental designs with one or many normally distributed,
primary response variables (endpoints). The procedure of Hasler
(2009) is applied for differences or ratios of means. Various
contrasts can be chosen, unbalanced sample sizes are allowed as
well as heterogeneous covariance matrices.
Packaged: Thu Oct 22 15:39:23 2009; Mario

and Hothorn (2011) is applied for differences or ratios of
means. Various contrasts can be chosen, unbalanced sample sizes
are allowed as well as heterogeneous variances or covariance

primary response variables (endpoints).  The procedure of
Hasler and Hothorn (2011,2012) is applied for differences or
ratios of means. Various contrasts can be chosen, unbalanced
sample sizes are allowed as well as heterogeneous variances or

Packaged: 2014-02-28 09:01:14 UTC; Administrator

Description: Simultaneous tests and confidence intervals are provided for one-way experimental designs with one or many normally distributed, primary response variables (endpoints). Differences (Hasler and Hothorn, 2011) or ratios (Hasler and Hothorn, 2012) of means can be considered. Various contrasts can be chosen, unbalanced sample sizes are allowed as well as heterogeneous variances (Hasler and Hothorn, 2008) or covariance matrices (Hasler, 2014).
Packaged: 2014-09-12 09:41:18 UTC; Administrator