Diagnostic control settings for dlmtree model fitting

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.