makebasis

Make orthonomal basis for weight functions

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

makebasis function

<dl><dt>exposure</dt>
<dd>Matrix of repeated measures of exposure that is n x T where n is the number of observations and T is the number of time points.</dd>
<dt>df</dt>
<dd>Degrees of freedom (including intercept) for the natural spline basis to be used.</dd></dl>

Arguments

Make orthonomal basis for weight functions — makebasis

<dl>

<dt>exposure</dt>
<dd>Matrix of repeated measures of exposure that is n x T where n is the number of observations and T is the number of time points.</dd>


<dt>df</dt>
<dd>Degrees of freedom (including intercept) for the natural spline basis to be used.</dd>

</dl>

makebasis: Make orthonomal basis for weight functions

Description

Usage

Value

Arguments

Examples