summary for modsem objects

Usage

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

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

# S3 method for class 'modsem_pi'
summary(object, ...)

Arguments

object: modsem object to summarized
H0: should a null model be estimated (used for comparison)
verbose: print progress for the estimation of null model
r.squared: calculate R-squared
adjusted.stat: should sample size corrected/adjustes AIC and BIC be reported?
digits: number of digits to print
scientific: print p-values in scientific notation
ci: print confidence intervals
standardized: print standardized estimates
loadings: print loadings
regressions: print regressions
covariances: print covariances
intercepts: print intercepts
variances: print variances
var.interaction: if FALSE (default) variances for interaction terms will be removed (if present)
...: arguments passed to lavaan::summary()
standardize: standardize estimates

Examples

if (FALSE) { # \dontrun{
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)
} # }