MIs function

Print modification indices

This function prints a list of modification indices (MIs)

MIs(x, all = FALSE, matrices, type = c("normal", "equal", "free"), top = 10, 
    verbose = TRUE, nonZero = FALSE)

Arguments

• x: A psychonetrics model.
• all: Logical, should all MIs be printed or only the highest?
• matrices: Optional vector of matrices to include in the output.
• type: String indicating which kind of modification index should be printed. ("mi" is the typical MI, "mi_free" is the modification index free from equality constrains across groups, and "mi_equal" is the modification index if the parameter is added constrained equal across all groups).
• top: Number of MIs to include in output if all = FALSE
• verbose: Logical, should messages be printed?
• nonZero: Logical, should only MIs be printed of non-zero parameters? Useful to explore violations of group equality.

Author(s)

Sacha Epskamp

Returns

Invisibly returns a relevant subset of the data frame containing all information on the parameters, or a list of such data frames if multiple types of MIs are requested.

Examples

# Load bfi data from psych package:
library("psychTools")
data(bfi)

# Also load dplyr for the pipe operator:
library("dplyr")

# Let's take the agreeableness items, and gender:
ConsData <- bfi %>% 
  select(A1:A5, gender) %>% 
  na.omit # Let's remove missingness (otherwise use Estimator = "FIML)

# Define variables:
vars <- names(ConsData)[1:5]

# Let's fit a full GGM:
mod <- ggm(ConsData, vars = vars, omega = "zero")

# Run model:
mod <- mod %>% runmodel

# Modification indices:
mod %>% MIs