arg_check_leverage_test

Check arguments of <code>leverage_test</code>

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_leverage_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 leverage points to return. The
default is all leverage points.</dd>
<dt>ttype</dt>
<dd>Threshold type. The default is
<code>"half"</code>. The other options are <code>"2mean"</code> and
<code>"custom"</code>. See Details.</dd>
<dt>threshold</dt>
<dd>A number between 0 and 1. Any
observation with a leverage value above this number is
declared a leverage point. This is automatically
determined unless <code>ttype = "custom"</code>.</dd></dl>

Arguments

Check arguments of leverage_test — arg_check_leverage_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 leverage points to return. The
default is all leverage points.</dd>


<dt>ttype</dt>
<dd>Threshold type. The default is
<code>"half"</code>. The other options are <code>"2mean"</code> and
<code>"custom"</code>. See Details.</dd>


<dt>threshold</dt>
<dd>A number between 0 and 1. Any
observation with a leverage value above this number is
declared a leverage point. This is automatically
determined unless <code>ttype = "custom"</code>.</dd>

</dl>

arg_check_leverage_test: Check arguments of `leverage_test`

Description

Usage

Value

Arguments