bic_order_gau: BIC-based order selection for Gaussian AD models

In antedep: Antedependence Models for Longitudinal Data

BIC-based order selection for Gaussian AD models

Description

Fits AD models of increasing orders and selects the best by BIC.

Usage

bic_order_gau(y, max_order = 2L, ...)

Arguments

y	Numeric matrix with n_subjects rows and n_time columns.
max_order	Maximum order to consider.
...	Additional arguments passed to fit_gau.

Value

A list with class gau_bic_order containing:

fits

List of fitted models

bic

BIC values for each order

best_order

Order with lowest BIC

table

Summary table

See Also

bic_order_cat, bic_order_inad, fit_gau

Examples

set.seed(1)
y <- simulate_gau(n_subjects = 80, n_time = 6, order = 1, phi = 0.4)
ord <- bic_order_gau(y, max_order = 2)
ord$best_order
ord$table

antedep documentation built on April 25, 2026, 1:06 a.m.