exametrika (version 1.1.0)

TestFitSaturated: Model Fit Functions for saturated model

Description

A general function that returns the model fit indices.

Usage

TestFitSaturated(U, Z, ell_A, nparam)

Value

model_log_like

log likelihood of analysis model

bench_log_like

log likelihood of benchmark model

null_log_like

log likelihood of null model

model_Chi_sq

Chi-Square statistics for analysis model

null_Chi_sq

Chi-Square statistics for null model

model_df

degrees of freedom of analysis model

null_df

degrees of freedom of null model

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.

Arguments

U

U is either a data class of exametrika, or raw data. When raw data is given, it is converted to the exametrika class with the dataFormat function.

Z

Z is a missing indicator matrix of the type matrix or data.frame

ell_A

log likelihood of this model

nparam

number of parameters for this model