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Methods for testing main and interaction effects in possibly
high-dimensional parametric or nonparametric repeated measures in factorial designs.
The observations of the subjects are assumed to be multivariate normal if using the parametric test.
The nonparametric version tests with regard to nonparametric relative effects (based on pseudo-ranks).
It is possible to use up to 2 whole- and 3 subplot factors.
See Happ et al. (2017, <doi:10.1080/15598608.2017.1307792>) for details.

Martin Happ

High-Dimensional Repeated Measures

Solomon W. Harrar

Arne C. Bathke

.E4 function

<dl><dt>M_i</dt>
<dd>a matrix for group i</dd>
<dt>M_j</dt>
<dd>a matrix for group j</dd></dl>

Arguments

Unbiased estimator — .E4

<dl>

<dt>M_i</dt>
<dd>a matrix for group i</dd>


<dt>M_j</dt>
<dd>a matrix for group j</dd>

</dl>

.E4: Unbiased estimator

Description

Usage

Arguments