summary.mtscr {mtscr} | R Documentation |
Fit measures for mtscr model
Description
Summarise the overall fit of a single model fitted with mtscr()
.
Usage
## S3 method for class 'mtscr'
summary(object, ...)
## S3 method for class 'mtscr_list'
summary(object, ...)
Arguments
object |
mtscr model or a mtscr_list object. |
... |
Additional arguments. Currently not used. |
Value
A tibble with the following columns:
- model
The model number (only if a list of models is provided)
- 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
Functions
-
summary(mtscr_list)
: Get fit measures for a list of models fitted withmtscr()
.
Examples
data("mtscr_creativity", package = "mtscr")
mtscr_creativity <- mtscr_creativity |>
dplyr::slice_sample(n = 500) # for performance, ignore
fit1 <- mtscr(mtscr_creativity, id, SemDis_MEAN, item, ties_method = "average")
fit3 <- mtscr(mtscr_creativity, id, SemDis_MEAN, item, top = 1:3, ties_method = "average")
summary(fit1)
summary(fit3)
[Package mtscr version 2.0.0 Index]