plot.collindlnmlinear

Visualize the results from a distributed lag model under an hypothetical
linear effect pattern provided by the user, generated using the function
<code>collindlnm</code>.

Tool to assessing whether the results of a study could be influenced by
collinearity. Simulations under a given hypothesized truth regarding effects of an
exposure on the outcome are used and the resulting curves of lagged effects are
visualized. A user's manual is provided, which includes detailed examples (e.g. a
cohort study looking for windows of vulnerability to air pollution, a time series
study examining the linear association of air pollution with hospital admissions,
and a time series study examining the non-linear association between temperature and
mortality). The methods are described in Basagana and Barrera-Gomez (2021) <doi:10.1093/ije/dyab179>.

Jose Barrera-Gomez

collin

Visualization the Effects of Collinearity in Distributed Lag
Models and Other Linear Models

Xavier Basagana

plot.collindlnmlinear function

<dl><dt>x</dt>
<dd>an object of class <code>"collindlnmlinear"</code>, which is generated by
the function <code>collindlnm</code> with <code>shape = "linear"</code>.</dd>
<dt>lags</dt>
<dd>a number or a numeric vector indicating at what lags the results
will be visualized. Default (<code>NULL</code>) shows all lags.</dd>
<dt>...</dt>
<dd>other parameters to be passed through to plot function.</dd></dl>

Arguments

Visualizes effects of collinearity in distributed lag model under an
hypothetical linear effect pattern. — plot.collindlnmlinear

<dl>

<dt>x</dt>
<dd>an object of class <code>"collindlnmlinear"</code>, which is generated by
the function <code>collindlnm</code> with <code>shape = "linear"</code>.</dd>


<dt>lags</dt>
<dd>a number or a numeric vector indicating at what lags the results
will be visualized. Default (<code>NULL</code>) shows all lags.</dd>


<dt>...</dt>
<dd>other parameters to be passed through to plot function.</dd>

</dl>

plot.collindlnmlinear: Visualizes effects of collinearity in distributed lag model under an hypothetical linear effect pattern.

Description

Usage

Value

Arguments

See Also

Examples