inst/doc/fit_measures_da.R

## ----include=FALSE------------------------------------------------------------
EVAL_DEFAULT <- FALSE
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  eval = EVAL_DEFAULT
)

## ----setup--------------------------------------------------------------------
# library(modsem)

## -----------------------------------------------------------------------------
# m1 <- "
# # Outer (measurement) model
# X =~ x1 + x2 + x3
# Y =~ y1 + y2 + y3
# Z =~ z1 + z2 + z3
# 
# # Inner (structural) model
# Y ~ X + Z + X:Z
# "
# 
# # Estimate the full (H1) model via LMS
# est_h1 <- modsem(m1, oneInt, method = "lms")
# 
# # Estimate the baseline (H0) model without interaction
# est_h0 <- estimate_h0(est_h1, calc.se = FALSE) # std.errors are not needed

## -----------------------------------------------------------------------------
# fit_modsem_da(est_h0)

## -----------------------------------------------------------------------------
# fit_modsem_da(est_h1, chisq = FALSE)

## -----------------------------------------------------------------------------
# compare_fit(est_h1 = est_h1, est_h0 = est_h0)

## -----------------------------------------------------------------------------
# modsem_inspect(est_h1, what = "fit")

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modsem documentation built on June 13, 2025, 9:08 a.m.