riclpm: Random Intercept CLPM

In Gootjes/longsem: Longitudinal structural equation modeling

Description

Random Intercept CLPM

Usage

riclpm(
  data,
  factors = list(list(label = "X", vars = list()), list(label = "Y", vars = list())),
  show_schematic_plot = TRUE,
  include_random_intercept = FALSE,
  constrain_crosslagged = FALSE,
  constrain_autoregressions = FALSE,
  constrain_residual_variances = FALSE,
  constrain_observed_errors = FALSE,
  constrain_covariances = FALSE,
  constrain_intercepts_over_time = FALSE,
  estimate_observed_intercepts = TRUE,
  estimate_observed_errors = FALSE,
  estimate_latent_intercepts = FALSE,
  estimate_intercepts_intercepts = FALSE,
  fix_random_intercept_first_wave_covariance_to_zero = FALSE,
  show_lavaan_syntax = FALSE,
  show_lavaan_output = FALSE,
  missing_data_treatment = "listwise"
)

Arguments

data	the data as a data frame
factors	a list containing named lists that define the label of the factor and the vars that belong to that factor
show_schematic_plot	.
include_random_intercept	.
constrain_crosslagged	.
constrain_autoregressions	.
constrain_residual_variances	.
constrain_observed_errors	.
constrain_covariances	.
constrain_intercepts_over_time	.
estimate_observed_intercepts	.
estimate_observed_errors	.
estimate_latent_intercepts	.
estimate_intercepts_intercepts	.
fix_random_intercept_first_wave_covariance_to_zero	.
show_lavaan_syntax	.
show_lavaan_output	.
missing_data_treatment	.

Value

A results object containing:

results$factor_definitions					a table
results$lavaan_warnings					a table
results$schematic_plot					an image
results$latent_variables					a table
results$random_intercept_latent_variables					a table
results$autolagged_paths					a table
results$crosslagged_paths					a table
results$covariances					a table
results$intercepts					a table
results$variances					a table
results$lavaan_output					a preformatted
results$lavaan_syntax					a preformatted

Tables can be converted to data frames with asDF or as.data.frame. For example:

results$factor_definitions$asDF

as.data.frame(results$factor_definitions)

Gootjes/longsem documentation built on Dec. 17, 2021, 10:22 p.m.