gimme (version 0.1-1)

gimme: Group iterative multiple model estimation.

Description

This function identifies structural equation models for each individual that consist of both group-level and individual-level paths.

Usage

gimme(data = "", 
      sep = "", 
      header = , 
      out = "",
      ar = FALSE, 
      plot = TRUE)

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 must be generated by the user prior to running the function.

ar

Logical. If TRUE, begins search for group model 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.

Value

• all.elements.summary
  Contains summary information for paths identified at the group- and individual-level.
• all.elements
  Contains information for all paths identified at the group- and individual-level.
• all.fit
  Contains model fit information for individual-level models.

References

Gates, K.M. & Molenaar, P.C.M. (2012). Group search algorithm recovers effective connectivity maps for individuals in homogeneous and heterogeneous samples. NeuroImage, 63, 310-319.

Examples

gimme.out <- gimme(data = "C:/data100",
             sep = ",",
             header = FALSE,
             out = "C:/data100_gimme_out",
             ar = TRUE,
             plot = TRUE)