Fit Dyadic CFA Models to Data

Fit models using a lavaan script (from dySEM or hand-written) or via model_type for convenience. Supports passing lavaan options via fit_options. When model = "ICC_LMM", fits an ICC model via dyLMM::fitICC instead of lavaan (returns lmerMod, not lavaan).

Usage

fit_dyadic_model(
  dat,
  model = NULL,
  model_type = c("Uni", "Cor"),
  dvn = NULL,
  x_order = "sip",
  x_stem = "x",
  x_delim1 = "",
  x_delim2 = "_",
  distinguish_1 = "A",
  distinguish_2 = "B",
  lvname = "X",
  fit_options = NULL,
  ...
)

fit_uni(
  dat,
  dvn = NULL,
  x_order = "sip",
  x_stem = "x",
  x_delim1 = "",
  x_delim2 = "_",
  distinguish_1 = "A",
  distinguish_2 = "B",
  lvname = "X",
  fit_options = NULL,
  ...
)

fit_cor(
  dat,
  dvn = NULL,
  x_order = "sip",
  x_stem = "x",
  x_delim1 = "",
  x_delim2 = "_",
  distinguish_1 = "A",
  distinguish_2 = "B",
  lvname = "X",
  fit_options = NULL,
  ...
)

Arguments

dat: Data frame with indicator variables (e.g., x1_A, x2_A, x1_B, x2_B).
model: Character; lavaan model syntax (from dySEM::scriptUni(), dySEM::scriptCor(), or hand-written). When provided, used directly. Use "ICC_LMM" to fit an intraclass correlation model via dyLMM.
model_type: "Uni" or "Cor"; used when model is NULL to generate script via dySEM.
dvn: Dvn from dySEM::build_dvn() or dySEM::scrapeVarCross(). If NULL, built from dat using scrapeVarCross.
x_order, x_stem, x_delim1, x_delim2, distinguish_1, distinguish_2: Naming arguments for scrapeVarCross when dvn is NULL.
lvname: Latent variable name (for model_type path).
fit_options: Named list passed to lavaan::cfa() (e.g. list(estimator = "mlr", missing = "ml")). Ignored for ICC_LMM.
...: Passed to lavaan::cfa() (ignored for ICC_LMM).

Value

Fitted lavaan object (or lmerMod for ICC_LMM), or NULL if model did not converge.

Functions

fit_uni(): Fit unidimensional dyadic CFA.
fit_cor(): Fit correlated dyadic CFA.

Usage

Arguments

Value

Functions

See also