Method for creating a summary object of class 'tdlmm'
Usage
# S3 method for 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