dlmtree.control.diagnose {dlmtree} | R Documentation |
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.
[Package dlmtree version 1.1.0 Index]