fit_indices: Mplus-Matched Fit Indices for a Single Model

In bifactory: (Bifactor) ESEM with Continuous (MLR) or Ordinal (WLSMV) Data

Mplus-Matched Fit Indices for a Single Model

Description

Returns CFI, TLI, RMSEA (with 90\ character vector. Uses the .scaled variants when the fit was estimated with MLR/WLSMV, matching Mplus's default output. For B-ESEM / ESEM WLSMV fits that carry pre-computed Mplus-matched values in $wlsmv_stats, those values are used directly and the RMSEA CI is computed from the scaled chi-square via non-central chi-squared inversion (MacCallum, Browne & Sugawara, 1996).

Usage

fit_indices(fit)

Arguments

fit	An esem_fit / besem_fit object, or a raw lavaan S4 fit.

Value

A named character vector with elements "CFI", "TLI", "RMSEA [90% CIs]", and "SRMR". Stack rows with rbind() (wrapped in noquote()) to build a comparison table.

Examples

data("HolzingerSwineford1939", package = "lavaan")
d <- HolzingerSwineford1939[, paste0("x", 1:9)]


fit_e <- esem(d, nfactors = 3)
fit_b <- besem(d, specific_factors = list(
  Visual  = c("x1", "x2", "x3"),
  Textual = c("x4", "x5", "x6"),
  Speed   = c("x7", "x8", "x9")
), n_starts = 5L)

noquote(rbind(
  ESEM  = fit_indices(fit_e),
  BESEM = fit_indices(fit_b)
))

bifactory documentation built on Oct. 28, 2026, 1:06 a.m.