n_eta

n_eta.gam

<a href="https://lifecycle.r-lib.org/articles/stages.html#experimental"><img src="figures/lifecycle-experimental.svg?package=gratia&version=0.10.0" alt="[Experimental]"></a> Extracts the number of linear predictors
from the fitted model.

utility

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

n_eta function

<dl><dt>model</dt>
<dd>a fitted model. Currently, only models inheriting from class
<code>"gam"</code> are supported.</dd>
<dt>...</dt>
<dd>arguments passed to methods.</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#experimental'><img src='figures/lifecycle-experimental.svg' alt='[Experimental]' /></a> Extracts the number of linear predictors
from the fitted model.

The Number of linear predictors in model — n_eta

<dl>

<dt>model</dt>
<dd>a fitted model. Currently, only models inheriting from class
<code>"gam"</code> are supported.</dd>


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

</dl>

n_eta: The Number of linear predictors in model

Description

Usage

Value

Arguments