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

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]