evaluate_parametric_term

evaluate_parametric_term.gam

<a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated"><img src="figures/lifecycle-deprecated.svg?package=gratia&version=0.9.0" alt="[Deprecated]"></a> Returns values of parametric model terms
at values of factor terms and over a grid of covariate values for linear
parametric terms. This function is now deprecated in favour of
<code>parametric_effects()</code>.

Graceful 'ggplot'-based graphics and utility functions for working with generalized additive models (GAMs) fitted using the 'mgcv' package. Provides a reimplementation of the plot() method for GAMs that 'mgcv' provides, as well as 'tidyverse' compatible representations of estimated smooths.

Gavin Simpson

gratia

Graceful 'ggplot'-Based Graphics and Other Functions for GAMs
Fitted Using 'mgcv'

Gavin L. Simpson

Henrik Singmann

evaluate_parametric_term function

<dl><dt>object</dt>
<dd>an object of class <code>"gam"</code> or <code>"gamm"</code>.</dd>
<dt>...</dt>
<dd>arguments passed to other methods.</dd>
<dt>term</dt>
<dd>character; which parametric term whose effects are evaluated</dd>
<dt>unconditional</dt>
<dd>logical; should confidence intervals include the
uncertainty due to smoothness selection? If <code>TRUE</code>, the corrected Bayesian
covariance matrix will be used.</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#deprecated'><img src='figures/lifecycle-deprecated.svg' alt='[Deprecated]' /></a> Returns values of parametric model terms
at values of factor terms and over a grid of covariate values for linear
parametric terms. This function is now deprecated in favour of
<code>parametric_effects()</code>.

Evaluate parametric model terms — evaluate_parametric_term

<dl>

<dt>object</dt>
<dd>an object of class <code>"gam"</code> or <code>"gamm"</code>.</dd>


<dt>...</dt>
<dd>arguments passed to other methods.</dd>


<dt>term</dt>
<dd>character; which parametric term whose effects are evaluated</dd>


<dt>unconditional</dt>
<dd>logical; should confidence intervals include the
uncertainty due to smoothness selection? If <code>TRUE</code>, the corrected Bayesian
covariance matrix will be used.</dd>

</dl>

evaluate_parametric_term: Evaluate parametric model terms

Description

Usage

Arguments