print.inflmlm

Computes regression deletion diagnostics for multivariate linear models and provides some associated
diagnostic plots.  The diagnostic measures include hat-values (leverages), generalized Cook's distance, and
generalized squared 'studentized' residuals.  Several types of plots to detect influential observations are
provided.

Michael Friendly

mvinfluence

Influence Measures and Diagnostic Plots for Multivariate Linear
Models

print.inflmlm function

<dl><dt>x</dt>
<dd>An <code>inflmlm</code> object</dd>
<dt>digits</dt>
<dd>Number of digits to print</dd>
<dt>FUN</dt>
<dd>Function to combine diagnostics when <code>m&gt;1</code>, one of <code>det</code> or <code>tr</code></dd>
<dt>...</dt>
<dd>passed to <code><a href="/link/print()?package=mvinfluence&version=0.9.0" data-mini-rdoc="mvinfluence::print()">print()</a></code></dd></dl>

Arguments

Print an inflmlm object — print.inflmlm

<dl>

<dt>x</dt>
<dd>An <code>inflmlm</code> object</dd>


<dt>digits</dt>
<dd>Number of digits to print</dd>


<dt>FUN</dt>
<dd>Function to combine diagnostics when <code>m&gt;1</code>, one of <code>det</code> or <code>tr</code></dd>


<dt>...</dt>
<dd>passed to <code><a href='https://rdrr.io/r/base/print.html'>print()</a></code></dd>

</dl>

print.inflmlm: Print an inflmlm object

Description

Usage

Value

Arguments

Examples