print.summary.nparld_fit

Prints the main components of a summarized <code>nparLD()</code> fit, including
design information, hypothesis type, estimated relative effects, and global
WTS and ATS results. Optional components such as factor-specific information,
multiple contrast results, covariance matrices, and permutation tests are
displayed when available.

Provides nonparametric procedures for the analysis of longitudinal data in factorial experiments. The package implements hypothesis tests on marginal distribution functions and unweighted relative marginal effects. It supports arbitrary crossed factorial designs with longitudinal or repeated-measures factors, missing observations, dependent replicates, rank- and pseudo-rank-based inference, Wald-type and ANOVA-type statistics, multiple contrast tests, and simultaneous confidence intervals.

Frank Konietschke

nparLD

Nonparametric Analysis of Longitudinal Data in Factorial
Experiments

Kimihiro Noguchi

Mahbub Latif

Karthinathan Thangavelu

Edgar Brunner

print.summary.nparld_fit function

<dl><dt>x</dt>
<dd>An object of class <code>"summary.nparld_fit"</code>.</dd>
<dt>digits</dt>
<dd>Number of digits used for printing numerical results.</dd>
<dt>...</dt>
<dd>Further arguments.</dd></dl>

Arguments

Print summary of an nparLD fit — print.summary.nparld_fit

<dl>

<dt>x</dt>
<dd>An object of class <code>"summary.nparld_fit"</code>.</dd>


<dt>digits</dt>
<dd>Number of digits used for printing numerical results.</dd>


<dt>...</dt>
<dd>Further arguments.</dd>

</dl>

print.summary.nparld_fit: Print summary of an nparLD fit

Description

Usage

Arguments