dlmtree.control.diagnose: Diagnostic control settings for dlmtree model fitting

In dlmtree: Bayesian Treed Distributed Lag Models

Diagnostic control settings for dlmtree model fitting

Description

Diagnostic control settings for dlmtree model fitting

Usage

dlmtree.control.diagnose(
  subset = NULL,
  lowmem = FALSE,
  verbose = TRUE,
  save.data = TRUE,
  diagnostics = FALSE,
  initial.params = NULL
)

Arguments

subset	integer vector to analyze only a subset of data and exposures.
lowmem	TRUE or FALSE (default): turn on memory saver for DLNM, slower computation time.
verbose	TRUE (default) or FALSE: print output
save.data	TRUE (default) or FALSE: save data used for model fitting. This must be set to TRUE to use shiny() function on hdlm or hdlmm
diagnostics	TRUE or FALSE (default) keep model diagnostic such as the number of terminal nodes and acceptance ratio.
initial.params	initial parameters for fixed effects model, FALSE = none (default), "glm" = generate using GLM, or user defined, length must equal number of parameters in fixed effects model.

Value

list of control parameters for diagnostics.

dlmtree documentation built on June 8, 2025, 12:39 p.m.