parameters (version 0.5.0)

model_parameters.lavaan: Parameters from CFA/SEM models

Description

Format CFA/SEM objects from the (b)lavaan package (Rosseel, 2012; Merkle and Rosseel 2018).

Usage

# S3 method for lavaan
model_parameters(
  model,
  ci = 0.95,
  standardize = FALSE,
  type = c("regression", "correlation", "loading"),
  ...
)

Arguments

model

CFA or SEM created by the lavaan::cfa or lavaan::sem functions.

ci

Confidence Interval (CI) level. Default to 0.95 (95%).

standardize

Return standardized parameters (standardized coefficients). See lavaan::standardizedsolution.

type

What type of links to return. Can be "all" or some of c("regression", "correlation", "loading", "variance", "mean").

...

Arguments passed to or from other methods.

Value

A data frame of indices related to the model's parameters.

References

• Rosseel Y (2012). lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48(2), 1-36.

• Merkle EC , Rosseel Y (2018). blavaan: Bayesian Structural Equation Models via Parameter Expansion. Journal of Statistical Software, 85(4), 1-30. http://www.jstatsoft.org/v85/i04/

Examples

# NOT RUN {
library(parameters)

# lavaan -------------------------------------
if (require("lavaan")) {

  # Confirmatory Factor Analysis (CFA) ---------

  structure <- " visual  =~ x1 + x2 + x3
                 textual =~ x4 + x5 + x6
                 speed   =~ x7 + x8 + x9 "
  model <- lavaan::cfa(structure, data = HolzingerSwineford1939)
  model_parameters(model)
  model_parameters(model, standardize = TRUE)

  # Structural Equation Model (SEM) ------------

  structure <- "
    # latent variable definitions
      ind60 =~ x1 + x2 + x3
      dem60 =~ y1 + a*y2 + b*y3 + c*y4
      dem65 =~ y5 + a*y6 + b*y7 + c*y8
    # regressions
      dem60 ~ ind60
      dem65 ~ ind60 + dem60
    # residual correlations
      y1 ~~ y5
      y2 ~~ y4 + y6
      y3 ~~ y7
      y4 ~~ y8
      y6 ~~ y8
  "
  model <- lavaan::sem(structure, data = PoliticalDemocracy)
  model_parameters(model)
  model_parameters(model, standardize = TRUE)
}
# }