sigmaManyToOne

The function calculates the covariance matrix for many-to-one-comparisons.
The covariance matrix is calculated for the point estimators,
each defined by the difference between the empirical mean of one of
the experimental groups and the empirical mean of the control group.

Calculation of informative simultaneous confidence intervals
for graphical described multiple test procedures and given information
weights. Bretz et al. (2009) <doi:10.1002/sim.3495> and Brannath et
al. (2024) <doi:10.48550/arXiv.2402.13719>. Furthermore, exploration of the
behavior of the informative bounds in dependence of the information
weights. Comparisons with compatible bounds are possible.
Strassburger and Bretz (2008) <doi:10.1002/sim.3338>.

Liane Kluge

informativeSCI

Informative Simultaneous Confidence Intervals

Werner Brannath

Martin Scharpenberg

sigmaManyToOne function

<dl><dt>sampleSizes</dt>
<dd>A numeric vector indicating the sample size of each
non-control group.</dd>
<dt>sampleSizeControl</dt>
<dd>A numeric indicating the sample size of the control
group.</dd>
<dt>varObs</dt>
<dd>A positive numeric indicating the variance of the individual
observations.</dd>
<dt>checkInput</dt>
<dd>A boolean specifying whether the entered values should be
checked.</dd></dl>

Arguments

Calculation of the Covariance Matrix for a Many-to-one-Comparison — sigmaManyToOne

<dl>

<dt>sampleSizes</dt>
<dd>A numeric vector indicating the sample size of each
non-control group.</dd>


<dt>sampleSizeControl</dt>
<dd>A numeric indicating the sample size of the control
group.</dd>


<dt>varObs</dt>
<dd>A positive numeric indicating the variance of the individual
observations.</dd>


<dt>checkInput</dt>
<dd>A boolean specifying whether the entered values should be
checked.</dd>

</dl>

sigmaManyToOne: Calculation of the Covariance Matrix for a Many-to-one-Comparison

Description

Usage

Value

Arguments

Examples