fit_lavaan: Get the lavaan fit indexes in tidy format

In brianmsm/antools: Functions and utilities for analysis in R

Get the lavaan fit indexes in tidy format

Description

fit_lavaan allows to extract the fit indexes of a factorial model estimated with lavaan. The main feature of this function is that, if the estimator is robust, the fit indexes obtained will be the robust ones.

Usage

fit_lavaan(x)

Arguments

x	A lavaan object that is estimated by lavaan::cfa() or lavaan::sem().

Value

A tibble::tibble() with a row and each estimated parameter in a column

nobs	Number of analysed observations
estimator	Estimator used
ngroups	Number of groups in model
converged	Logical indicator about the convergence of the model
chisq	Model chi squared
df	degrees of freedom
pvalue	P-value associated with the model
npar	Number of parameters in the model
CFI	Comparative Fit Index
TLI	Tucker-Lewis Index also known as NNFI
RMSEA	Root Mean Square error of Approximation
RMSEA.CI.LOWER	95 percent lower bound on RMSEA
RMSEA.CI.UPPER	95 percent upper bound on RMSEA
SRMR	Standardized Root Mean squared Residual
WRMR	Weighted Root Mean Square Residual
AIC	Akaike information criterion
BIC	Bayesian information criterion
missing_method	Method for eliminating missing data

See Also

lavaan::cfa(), lavaan::sem(), lavaan::fitmeasures()

Examples

library(lavaan)

HS.model <- " visual  =~ x1 + x2 + x3
              textual =~ x4 + x5 + x6
              speed   =~ x7 + x8 + x9 "

fit <- cfa(
  model = HS.model,
  data = HolzingerSwineford1939
)

fit_lavaan(fit)

brianmsm/antools documentation built on Feb. 13, 2023, 3:07 a.m.