summary.tdlmm: Creates a summary object of class 'tdlmm'

In dlmtree: Bayesian Treed Distributed Lag Models

Creates a summary object of class 'tdlmm'

Description

Method for creating a summary object of class 'tdlmm'

Usage

## S3 method for class 'tdlmm'
summary(
  object,
  conf.level = 0.95,
  marginalize = "mean",
  log10BF.crit = 0.5,
  verbose = TRUE,
  keep.mcmc = FALSE,
  ...
)

Arguments

object	an object of type 'tdlmm', the output from tdlmm()
conf.level	confidence level (default = 0.95)
marginalize	value(s) for calculating marginal DLMs, defaults to "mean", can also specify a percentile from 1-99 for all other exposures, or a named vector with specific values for each exposure
log10BF.crit	Bayes Factor criteria for selecting exposures and interactions, such that log10(BayesFactor) > x. Default = 0.5
verbose	show progress in console
keep.mcmc	keep all mcmc iterations (large memory requirement)
...	additional parameters

Details

summary.tdlmm

Value

list of type 'summary.tdlmm'

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