summary.tdlmm {dlmtree}

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'