rloo

rdeleted

rjackknife

<code>rloo</code> computes the leave-one-out residuals of
<code>model</code>. 
<code>rjacknife</code> and <code>rdeleted</code> are
aliases for <code>rloo</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"

rloo 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>...</dt>
<dd>Currently unimplemented</dd></dl>

Arguments

Author

<code>rloo</code> computes the leave-one-out residuals of
<code>model</code>. 
<code>rjacknife</code> and <code>rdeleted</code> are
aliases for <code>rloo</code>.

Compute leave-one-out residuals — rloo

<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>...</dt>
<dd>Currently unimplemented</dd>

</dl>

rloo: Compute leave-one-out residuals

Description

Usage

Arguments

Author

See Also

Examples