calcFitIndices: calc Fit Indices

In exametrika: Test Theory Analysis and Biclustering

calc Fit Indices

Description

A general function that returns the model fit indices.

Usage

calcFitIndices(chi_A, chi_B, df_A, df_B, nobs)

Arguments

chi_A	chi-squares for this model
chi_B	chi-squares for compared model
df_A	degrees of freedom for this model
df_B	degrees of freedom for compared model
nobs	number of observations for Information criteria

Value

NFI

Normed Fit Index. Lager values closer to 1.0 indicate a better fit.

RFI

Relative Fit Index. Lager values closer to 1.0 indicate a better fit.

IFI

Incremental Fit Index. Lager values closer to 1.0 indicate a better fit.

TLI

Tucker-Lewis Index. Lager values closer to 1.0 indicate a better fit.

CFI

Comparative Fit Index. Lager values closer to 1.0 indicate a better fit.

RMSEA

Root Mean Square Error of Approximation. Smaller values closer to 0.0 indicate a better fit.

AIC

Akaike Information Criterion. A lower value indicates a better fit.

CAIC

Consistent AIC.A lower value indicates a better fit.

BIC

Bayesian Information Criterion. A lower value indicates a better fit.

exametrika documentation built on Aug. 21, 2025, 5:27 p.m.