summary.nparld_fit

Extracts the main components of a fitted <code>nparLD()</code> object into a
structured summary object. The summary is useful for inspecting, printing, or
programmatically accessing the main results without working directly with all
internal components of the fitted object.

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

summary.nparld_fit function

<dl><dt>object</dt>
<dd>An object of class <code>"nparld_fit"</code>.</dd>
<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd></dl>

Arguments

Summarize an nparLD fit — summary.nparld_fit

<dl>

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


<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd>

</dl>

summary.nparld_fit: Summarize an nparLD fit

Description

Usage

Value

Arguments

Details