search.paths.ind: Searches for individual-level paths. Ties together...
In gimme: Group Iterative Multiple Model Estimation

search.paths.ind

R Documentation

Searches for individual-level paths. Ties together highest.mi, return.mis, prune, and get.params functions.

Description

Searches for individual-level paths. Ties together highest.mi, return.mis, prune, and get.params functions.

Usage

search.paths.ind(
  dat,
  k,
  data_list,
  base_syntax,
  fixed_syntax,
  elig_paths,
  prop_cutoff,
  n_subj,
  chisq_cutoff,
  subgroup_stage,
  hybrid,
  dir_prop_cutoff,
  ind_z_cutoff
)

Arguments

`dat`	Object created at beginning of gimme containing static info.
`k`	Which individual this is.
`data_list`	A list of datasets to be used in a given stage of the search. Varies based on group, subgroup, or individual-level stage.
`base_syntax`	A character vector containing syntax that never changes.
`fixed_syntax`	A character vector containing syntax that does not change in a given stage of searching.
`elig_paths`	A character vector containing eligible paths that gimme is allowed to add to the model at a given stage.
`prop_cutoff`	The proportion of individuals for whom a path must be nonsignificant in order for it to be dropped from the models. NULL if used at the individual-level.
`n_subj`	The number of subjects in a given stage of the search. If in the group stage, n_subj equals the number of subjects. If in the subgroup stage, n_subj equals the number of individuals in a given subgroup. At the individual stage, n_subj = 1.
`chisq_cutoff`	Cutoff used in order for MI to be considered significant. Value varies depending on stage of search (e.g., group, subgroup, individual).
`subgroup_stage`	Logical. Only present in order to instruct gimme what message to print to console using writeLines.