fit_uni_lcsm: Fit univariate latent change score models

In milanwiedemann/lcstools: Univariate and Bivariate Latent Change Score Modelling

Fit univariate latent change score models

Description

Fit univariate latent change score models.

Usage

fit_uni_lcsm(
  data,
  var,
  model,
  add = NULL,
  mimic = "Mplus",
  estimator = "MLR",
  missing = "FIML",
  return_lavaan_syntax = FALSE,
  ...
)

Arguments

data	A data frame in "wide" format, i.e. one column for each measurement point and one row for each observation.
var	Vector, specifying the variable names of each measurement point sequentially.
model	List of model specifications (logical) for variables specified in var. alpha_constant (Constant change factor) alpha_piecewise (Piecewise constant change factors) alpha_piecewise_num (Changepoint of piecewise constant change factors. In an example with 10 repeated measurements, setting alpha_piecewise_num to 5 would estimate two seperate constant change factors, a first one for changes up to timepoint 5, and a second one for changes from timepoint 5 onwards (in this example timepoint 10)., alpha_linear (Linear change factor) beta (Proportional change factor) phi (Autoregression of change scores)
add	String, lavaan syntax to be added to the model
mimic	See mimic argument in lavOptions.
estimator	See estimator argument in lavOptions.
missing	See missing argument in lavOptions.
return_lavaan_syntax	Logical, if TRUE return the lavaan syntax used for simulating data. To make it look beautiful use the function cat.
...	Additional arguments to be passed to lavOptions.

Value

This function returns a lavaan class object.

References

Ghisletta, P., & McArdle, J. J. (2012). Latent Curve Models and Latent Change Score Models Estimated in R. Structural Equation Modeling: A Multidisciplinary Journal, 19(4), 651–682. doi: 10.1080/10705511.2012.713275.

Grimm, K. J., Ram, N., & Estabrook, R. (2017). Growth Modeling—Structural Equation and Multilevel Modeling Approaches. New York: The Guilford Press.

McArdle, J. J. (2009). Latent variable modeling of differences and changes with longitudinal data. Annual Review of Psychology, 60(1), 577–605. doi: 10.1146/annurev.psych.60.110707.163612.

Yves Rosseel (2012). lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48(2), 1-36. doi: 10.18637/jss.v048.i02.

Examples

# Fit univariate latent change score model
fit_uni_lcsm(data = data_uni_lcsm, 
             var = names(data_uni_lcsm)[2:4],
             model = list(alpha_constant = TRUE, 
                          beta = FALSE, 
                          phi = FALSE))

milanwiedemann/lcstools documentation built on March 3, 2023, 5:14 a.m.