get.search.items: Specify the Purpose of the Model Search Process
In ldt: Automated Uncertainty Analysis

get.search.items

R Documentation

Specify the Purpose of the Model Search Process

Description

Use this function to list the required items and information that should be saved and retrieved from the model set search process in search.? functions.

Usage

get.search.items(
  model = TRUE,
  type1 = FALSE,
  type2 = FALSE,
  bestK = 1,
  all = FALSE,
  inclusion = FALSE,
  cdfs = numeric(0),
  extremeMultiplier = 0,
  mixture4 = FALSE
)

Arguments

`model`	If `TRUE`, some information about the models is saved.
`type1`	If `TRUE` and implemented, extra information is saved. This can be the coefficients in the SUR search or predictions in the VARMA search.
`type2`	If `TRUE` and implemented, extra information is saved. This is similar to `type1`. It is reserved for future updates.
`bestK`	The number of best items to be saved in `model`, `type1`, or `type2` information.
`all`	If `TRUE`, all models' information is saved.
`inclusion`	If `TRUE`, inclusion weights are saved.
`cdfs`	Weighted average of the CDFs at each given point is calculated (for `type1` and `type2` cases).
`extremeMultiplier`	A number that determines the multiplier in the extreme bound analysis (for `type1` and `type2` cases). Use zero to disable it.
`mixture4`	If `TRUE`, the first four moments of the average distributions are calculated in `type1` and `type2` cases.