getw

Estimation and interpretation of Bayesian distributed lag interaction models (BDLIMs). A BDLIM regresses a scalar outcome on repeated measures of exposure and allows for modification by a categorical variable under four specific patterns of modification. The main function is bdlim(). There are also summary and plotting files. Details on methodology are described in Wilson et al. (2017) <doi:10.1093/biostatistics/kxx002>.

Ander Wilson

bdlim

Bayesian Distributed Lag Interaction Models

getw function

<dl><dt>object</dt>
<dd>An object of class bdlim1.</dd>
<dt>type</dt>
<dd>Type of summary. The default is 'normal' which returns a summary with the mean projected to conform with the norm 1 constraint. Others are <code>raw</code> which is the same as normal but without the mean projected and <code>full</code> that returns all posterior samples used in the analysis (burn in removed and thinned).</dd>
<dt>...</dt>
<dd>Not used.</dd></dl>

Arguments

Get weight function — getw

<dl>

<dt>object</dt>
<dd>An object of class bdlim1.</dd>


<dt>type</dt>
<dd>Type of summary. The default is 'normal' which returns a summary with the mean projected to conform with the norm 1 constraint. Others are <code>raw</code> which is the same as normal but without the mean projected and <code>full</code> that returns all posterior samples used in the analysis (burn in removed and thinned).</dd>


<dt>...</dt>
<dd>Not used.</dd>

</dl>

getw: Get weight function

Description

Usage

Value

Arguments