TestFitSaturated {exametrika} | R Documentation |
Model Fit Functions for saturated model
Description
A general function that returns the model fit indices.
Usage
TestFitSaturated(U, Z, ell_A, nparam)
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 |
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.