arg_check_outlier_test

Check arguments of <code>outlier_test</code>

internal

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"

arg_check_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

Check arguments of outlier_test — arg_check_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>

arg_check_outlier_test: Check arguments of `outlier_test`

Description

Usage

Arguments