print.bdlim1

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

print.bdlim1 function

<dl><dt>x</dt>
<dd>An object of class bdlim1.</dd>
<dt>...</dt>
<dd>Not used.</dd></dl>

Arguments

Print Results — print.bdlim1

<dl>

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


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

</dl>

print.bdlim1: Print Results

Description

Usage

Value

Arguments