plot.summary.tdlmm: Plots DLMMs for model summary of class 'tdlmm'

In dlmtree: Bayesian Treed Distributed Lag Models

Plots DLMMs for model summary of class 'tdlmm'

Description

Method for plotting DLMMs for model summary of class 'tdlmm'. Includes plots for marginal exposure effects as well as interactions between two exposures.

Usage

## S3 method for class 'summary.tdlmm'
plot(
  x,
  type = "marginal",
  exposure1 = NULL,
  exposure2 = NULL,
  time1 = c(),
  time2 = c(),
  show.cw = TRUE,
  cw.plots.only = TRUE,
  trueDLM = NULL,
  scale = NULL,
  ...
)

Arguments

x	an object of type 'summary.tdlmm' from summary.tdlmm() output
type	plot type, 'marginal' (default)
exposure1	exposure for plotting DLM
exposure2	exposure paired with 'exposure1' for plotting interaction
time1	plot a cross section from an interaction plot at specific time for 'exposure1'
time2	plot a cross section from an interaction plot at specific time for 'exposure2'
show.cw	indicate location of critical windows in interaction plot with red points
cw.plots.only	show only plots with critical windows
trueDLM	A vector of true effects that can be obtained from the simulated data. Only applicable for simulation studies
scale	default = NULL, if scale is not NULL, the effects are exponentiated
...	additional plotting parameters for title and labels

Details

plot.summary.tdlmm

Value

A plot of distributed lag effect or interaction surface estimated with tdlmm

dlmtree documentation built on June 22, 2024, 10:05 a.m.