simulatedlnm

simulatedlnm.linearlme

simulatedlnm.linearglm

simulatedlnm.nonlinearglm

Simulation procedure internally called by the <code>collindlnm</code>
function for a given hypothetical effect.

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

simulatedlnm function

<dl><dt>x</dt>
<dd>an object internally generated by the <code>collindlnm</code> function.</dd></dl>

Arguments

<ul>
<li><code>simulatedlnm(linearlme)</code>: case of a hypothetical linear effect in a model of
class <code>"lme"</code>.</li>
<li><code>simulatedlnm(linearglm)</code>: case of a hypothetical linear effect in a model of
class <code>"glm"</code>.</li>
<li><code>simulatedlnm(nonlinearglm)</code>: case of a hypothetical non-linear effect in a model
of class <code>"glm"</code>.</li>
</ul>

Methods (by class)

simulatedllm generic. — simulatedlnm

<dl>

<dt>x</dt>
<dd>an object internally generated by the <code>collindlnm</code> function.</dd>

</dl>

simulatedlnm: simulatedllm generic.

Description

Usage

Arguments

Methods (by class)