get_refit

Refit an existing regression model using a new response variable.

Leveraging Monte Carlo simulations, this package provides
tools for diagnosing regression models. It implements a parametric
bootstrap framework to compute statistics, generates diagnostic
envelopes to assess goodness-of-fit, and evaluates type I error
control for Wald tests. By simulating data under the assumption that
the model is true, it helps to identify model mis-specifications and
enhances the reliability of the model inferences.

Álvaro Kothe

asympDiag

Diagnostic Tools for Asymptotic Theory

Alexandre Patriota

get_refit function

<dl><dt>object</dt>
<dd>A model.</dd>
<dt>newresp</dt>
<dd>the new response, may be a vector or a matrix.</dd>
<dt>...</dt>
<dd>other arguments passed to <code>refit</code> or <code>update</code>.</dd></dl>

Arguments

Refit the Model — get_refit

<dl>

<dt>object</dt>
<dd>A model.</dd>


<dt>newresp</dt>
<dd>the new response, may be a vector or a matrix.</dd>


<dt>...</dt>
<dd>other arguments passed to <code>refit</code> or <code>update</code>.</dd>

</dl>

get_refit: Refit the Model

Description

Usage

Value

Arguments

Details

See Also