Calculates subgroup-specific lag effects for heterogeneous models

Method for calculating subgroup-specific lag effects for heterogeneous models: HDLM, HDLMM

Usage

estDLM(
  object,
  new.data,
  group.index,
  conf.level = 0.95,
  exposure = NULL,
  keep.mcmc = FALSE,
  mem.safe = FALSE,
  verbose = TRUE
)

object: object of a model fit. Must be 'hdlm' or 'hdlmm'
new.data: data frame with new observations with the same number of modifiers
group.index: list of index (row numbers) for subgroup specification
conf.level: confidence level for credible interval of effects
exposure: exposure of interest for 'hdlmm' method
keep.mcmc: store mcmc in the output
mem.safe: boolean memory parameter for rule index
verbose: TRUE (default) or FALSE: print output

A list with the following components:

conf.level: Specified confidence level
mod: a list of modifers with a vector of values from the model
n: Number of observation per specified subgroup
groupIndex: list of index (row numbers) for specified subgroup
dlmMean: distributed lag effects per subgroups
dlmCI: credible intervals for distributed lag effects per subgroups
dlmCum: cumulative effects per subgroups
dlFunction: type of DLM class
plotData: data frame built for easier visualization of distributed lag effects for each subgroup (facet)

estDLM