mtscr_model_summary {mtscr} | R Documentation |
Summarise a model
Description
Summarise a model generated with mtscr_model
with
some basic statistics; calculate the empirical reliability
and the first difference of the empirical reliability.
Usage
mtscr_model_summary(model)
Arguments
model |
A model generated with |
Value
A data frame with the following columns:
- model
The model number
- nobs
Number of observations
- sigma
The square root of the estimated residual variance
- logLik
The log-likelihood of the model
- AIC
The Akaike information criterion
- BIC
The Bayesian information criterion
- df.residual
The residual degrees of freedom
- emp_rel
The empirical reliability
- FDI
The first difference of the empirical reliability
Examples
data("mtscr_creativity", package = "mtscr")
mtscr_model(mtscr_creativity, id, item, SemDis_MEAN, top = 1:3) |>
mtscr_model_summary()
[Package mtscr version 1.0.1 Index]