l_ciLine

This layer adds confidence interval lines to smooth, random or parametric effect plots.

Extension of the 'mgcv' package, providing visual tools for Generalized Additive Models that exploit the additive structure of such models, scale to large data sets and can be used in conjunction with a wide range of response distributions. The focus is providing visual methods for better understanding the model output and for aiding model checking and development beyond simple exponential family regression. The graphical framework is based on the layering system provided by 'ggplot2'.

Matteo Fasiolo

mgcViz

Visualisations for Generalized Additive Models

Raphael Nedellec

Yannig Goude

Christian Capezza

Simon N. Wood

l_ciLine function

<dl><dt>level</dt>
<dd>coverage level (e.g. 0.9 means 90% intervals). Should be in (0, 1).</dd>
<dt>mul</dt>
<dd>number multiplied by the standard errors when calculating
standard error curves. By default <code>NULL</code>, if
set to a positive number it will over-ride <code>level</code>.</dd>
<dt>...</dt>
<dd>graphical arguments to be passed to <code><a href="https://ggplot2.tidyverse.org/reference/geom_path.html">ggplot2::geom_line</a></code>.</dd></dl>

Arguments

Adding confidence intervals to effect plot — l_ciLine

<dl>

<dt>level</dt>
<dd>coverage level (e.g. 0.9 means 90% intervals). Should be in (0, 1).</dd>


<dt>mul</dt>
<dd>number multiplied by the standard errors when calculating
standard error curves. By default <code>NULL</code>, if
set to a positive number it will over-ride <code>level</code>.</dd>


<dt>...</dt>
<dd>graphical arguments to be passed to <code><a href='https://ggplot2.tidyverse.org/reference/geom_path.html'>ggplot2::geom_line</a></code>.</dd>

</dl>

l_ciLine: Adding confidence intervals to effect plot

Description

Usage

Value

Arguments

See Also