summary: summary for modsem objects

In modsem: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)

summary for modsem objects

Description

summary for modsem objects

summary for modsem objects

summary for modsem objects

Usage

## S3 method for class 'modsem_da'
summary(
  object,
  H0 = TRUE,
  verbose = interactive(),
  r.squared = TRUE,
  fit = FALSE,
  adjusted.stat = FALSE,
  digits = 3,
  scientific = FALSE,
  ci = FALSE,
  standardized = FALSE,
  centered = FALSE,
  monte.carlo = FALSE,
  mc.reps = 10000,
  loadings = TRUE,
  regressions = TRUE,
  covariances = TRUE,
  intercepts = TRUE,
  variances = TRUE,
  var.interaction = FALSE,
  ...
)

## S3 method for class 'modsem_mplus'
summary(
  object,
  scientific = FALSE,
  standardized = FALSE,
  ci = FALSE,
  digits = 3,
  loadings = TRUE,
  regressions = TRUE,
  covariances = TRUE,
  intercepts = TRUE,
  variances = TRUE,
  ...
)

## S3 method for class 'modsem_pi'
summary(
  object,
  H0 = TRUE,
  r.squared = TRUE,
  adjusted.stat = FALSE,
  digits = 3,
  scientific = FALSE,
  verbose = TRUE,
  ...
)

Arguments

object	modsem object to summarized
H0	Should the baseline model be estimated, and used to produce comparative fit?
verbose	Should messages be printed?
r.squared	Calculate R-squared.
fit	Print additional fit measures.
adjusted.stat	Should sample size corrected/adjustes AIC and BIC be reported?
digits	Number of digits for printed numerical values
scientific	Should scientific format be used for p-values?
ci	print confidence intervals
standardized	standardize estimates
centered	Print mean centered estimates.
monte.carlo	Should Monte Carlo bootstrapped standard errors be used? Only relevant if standardized = TRUE. If FALSE delta method is used instead.
mc.reps	Number of Monte Carlo repetitions. Only relevant if monte.carlo = TRUE, and standardized = TRUE.
loadings	print loadings
regressions	print regressions
covariances	print covariances
intercepts	print intercepts
variances	print variances
var.interaction	If FALSE variances for interaction terms will be removed from the output.
...	arguments passed to lavaan::summary()

Examples

## Not run: 
m1 <- "
 # Outer Model
 X =~ x1 + x2 + x3
 Y =~ y1 + y2 + y3
 Z =~ z1 + z2 + z3

 # Inner model
 Y ~ X + Z + X:Z
"

est1 <- modsem(m1, oneInt, "qml")
summary(est1, ci = TRUE, scientific = TRUE)

## End(Not run)

modsem documentation built on Aug. 27, 2025, 9:08 a.m.