print.nparld_covarianceinfo

Displays the estimated covariance matrix of the relative effect estimator.

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.nparld_covarianceinfo function

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

Arguments

Print nparLD covariance matrix — print.nparld_covarianceinfo

<dl>

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


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


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

</dl>

print.nparld_covarianceinfo: Print nparLD covariance matrix

Description

Usage

Arguments

Details