Run One Simulation Scenario

Generate data, fit models, and extract results for a single scenario. Supports model mismatch (DGP model can differ from analysis model). Use analysis_model = "ICC_LMM" to fit an ICC model via dyLMM (requires non-negative lv_cov in population values).

Usage

run_one_scenario(
  pop_model_x = c("Uni", "Cor"),
  analysis_model,
  n_items_x,
  n_dyads,
  pop_values_x,
  x_order = "sip",
  x_stem = "x",
  x_delim1 = "",
  x_delim2 = "_",
  distinguish_1 = "A",
  distinguish_2 = "B",
  lvname = "X",
  reps = 100,
  seed = NULL,
  extract = c("estimates", "convergence"),
  true_values = NULL,
  fit_options = NULL
)

Arguments

pop_model_x: "Uni" or "Cor" — model that generates data.
analysis_model: Character; lavaan model syntax (from dySEM or hand-written), or "ICC_LMM" for ICC via dyLMM.
n_items_x: Number of indicators per partner.
n_dyads: Number of dyads.
pop_values_x: Named list of population values (Uni or Cor structure).
x_order, x_stem, x_delim1, x_delim2, distinguish_1, distinguish_2: Variable naming.
lvname: Latent variable name.
reps: Number of replications.
seed: Base seed; each rep gets seed + rep.
extract: Character vector: "estimates", "fit", "convergence", "coverage".
true_values: Optional named list of true values for coverage.
fit_options: Named list passed to lavaan::cfa() (e.g. list(estimator = "mlr")).

Value

Tibble with one row per rep and columns for requested outputs.

Usage

Arguments

Value

See also