count.excellent: Counts number of excellent fit indices

In gimme: Group Iterative Multiple Model Estimation

Counts number of excellent fit indices

Description

Counts number of excellent fit indices

Usage

count.excellent(
  indices,
  rmsea_cutoff = 0.05,
  srmr_cutoff = 0.05,
  nnfi_cutoff = 0.95,
  cfi_cutoff = 0.95
)

Arguments

indices	A vector of fit indices from lavaan.
rmsea_cutoff	Cutoff for RMSEA for an individual model(default is .05; must be between 0.0 and 1.0).
srmr_cutoff	Cutoff for SRMR for an individual model (default is .05; must be between 0.0 and 1.0).
nnfi_cutoff	Cutoff for NNFI for an individual model (default is .95; must be between 0.0 and 1.0).
cfi_cutoff	Cutoff for CFI for an individual model (default is .95; must be between 0.0 and 1.0).

Value

The number of fit indices that are excellent.

gimme documentation built on Aug. 22, 2025, 5:13 p.m.