outlier_test

<code>outlier_test</code> returns the observations identified
as an outlier based on the Bonferroni correction for a
studentized residuals.

Simplifies aspects of linear regression analysis, particularly simultaneous inference. Additionally, supports "A Progressive Introduction to Linear Models" by Joshua French (<https://jfrench.github.io/LinearRegression/>).

Joshua French

api2lm

Functions and Data Sets for the Book "A Progressive Introduction
to Linear Models"

outlier_test function

<dl><dt>model</dt>
<dd>A fitted model object from the
<code><a href="/link/lm?package=api2lm&version=0.2" data-mini-rdoc="api2lm::lm">lm</a></code> function.</dd>
<dt>n</dt>
<dd>The number of outliers to return. The default is
all outliers.</dd>
<dt>alpha</dt>
<dd>The Bonferroni-adjusted threshold at which
an outlier is identified. The default is <code>0.05</code>.</dd></dl>

Arguments

Identify outliers — outlier_test

<dl>

<dt>model</dt>
<dd>A fitted model object from the
<code><a href='https://rdrr.io/r/stats/lm.html'>lm</a></code> function.</dd>


<dt>n</dt>
<dd>The number of outliers to return. The default is
all outliers.</dd>


<dt>alpha</dt>
<dd>The Bonferroni-adjusted threshold at which
an outlier is identified. The default is <code>0.05</code>.</dd>

</dl>

outlier_test: Identify outliers

Description

Usage

Value

Arguments

See Also

Examples