plot.summary.tdlm

Method for plotting a distributed lag function for model summary of 'tdlm'

Estimation of distributed lag models (DLMs) based on a Bayesian additive regression trees framework. Includes several extensions of DLMs: treed DLMs and distributed lag mixture models (Mork and Wilson, 2023) <doi:10.1111/biom.13568>; treed distributed lag nonlinear models (Mork and Wilson, 2022) <doi:10.1093/biostatistics/kxaa051>; heterogeneous DLMs (Mork, et. al., 2024) <doi:10.1080/01621459.2023.2258595>; monotone DLMs (Mork and Wilson, 2024) <doi:10.1214/23-BA1412>. The package also includes visualization tools and a 'shiny' interface to check model convergence and to help interpret results.

Daniel Mork

dlmtree

Bayesian Treed Distributed Lag Models

Seongwon Im

Ander Wilson

plot.summary.tdlm function

<dl><dt>x</dt>
<dd>object of class 'summary.tdlm', output of summary of 'tdlm'</dd>
<dt>...</dt>
<dd>additional plotting parameters for title and labels
'start.time' which sets the first time value</dd></dl>

Arguments

Plots a distributed lag function for model summary of 'tdlm' — plot.summary.tdlm

<dl>

<dt>x</dt>
<dd>object of class 'summary.tdlm', output of summary of 'tdlm'</dd>


<dt>...</dt>
<dd>additional plotting parameters for title and labels
'start.time' which sets the first time value</dd>

</dl>

plot.summary.tdlm: Plots a distributed lag function for model summary of 'tdlm'

Description

Usage

Value

Arguments

Details