gimme (version 0.1-2)

indSEM: Individual-level structural equation model search.

Description

This function identifies structural equation models for each individual. It does not utilize any shared information from the sample.

Usage

indSEM(data   = "",
       sep    = "",
       header = ,
       out    = "",
       ar     = FALSE,
       plot   = TRUE,
       paths  = NULL)

Arguments

data

Path to the directory where the data files are located. Each file must contain one matrix for each individual containing a T (time) by p (number of variables) matrix where the columns represent variables and the rows represent time.

sep

The spacing of the data files. "" indicates space-delimited, "/t" indicates tab-delimited, "," indicates comma delimited.

header

Logical. Indicate TRUE for data files with a header.

out

The path to the directory where the results will be stored. This directory must be generated by the user prior to running the function.

ar

Logical. If TRUE, begins search for individual models with autoregressive (AR) paths open. Defaults to FALSE.

plot

Logical. If TRUE, graphs depicting relations among variables of interest will automatically be created. Defaults to TRUE. For individual-level plots, red paths represent positive weights and blue paths represent negative weights.

paths

lavaan-style syntax containing paths with which to begin model estimation. That is, Y~X indicates that Y is regressed on X, or X predicts Y. If no header is used, then variables should be referred to with V followed (with no separation) by the column num

itemize

• betas

item

• SEs
• plots

Details

In main output directory:

• all.elements.summary

{Contains summary information for paths identified at the individual-level.} all.elements {Contains information for all paths, per individual, identified at the individual-level.} all.fit {Contains model fit information for individual-level models. If subgroups are requested, this file also contains the subgroup membership for each individual.} finalpaths_contemp Contains counts of total number of paths (contemporaneous predicting contemporaneous) estimated for sample. finalpaths_lagged Contains counts of total number of paths (lagged predicting contemporaneous) estimated for the sample.

Examples

indSEM(data   = "C:/data100",
       sep    = ",",
       header = FALSE,
       out    = "C:/data100_indSEM_out",
       ar     = TRUE,
       plot   = TRUE,
       paths  = NULL)