run_stationarity_tests_gau: Run all stationarity-related tests for Gaussian AD

In antedep: Antedependence Models for Longitudinal Data

Run all stationarity-related tests for Gaussian AD

Description

Runs a standard set of stationarity constraints for Gaussian AD models.

Usage

run_stationarity_tests_gau(
  y,
  order = 1L,
  blocks = NULL,
  verbose = FALSE,
  max_iter = 2000L,
  rel_tol = 1e-08,
  ...
)

Arguments

y	Numeric matrix with n_subjects rows and n_time columns.
order	Antedependence order (0, 1, or 2).
blocks	Optional vector of block memberships (length n_subjects).
verbose	Logical; if TRUE, prints progress.
max_iter	Maximum number of optimization iterations for constrained fits.
rel_tol	Relative tolerance for constrained optimization.
...	Additional arguments passed to fit_gau for the unconstrained fit.

Value

A list with class "stationarity_tests_gau" containing:

fit_unconstrained

Unconstrained Gaussian AD fit

tests

Named list of test_stationarity_gau results

summary

Summary table of all constraints

See Also

test_stationarity_gau

Examples

set.seed(1)
y <- simulate_gau(n_subjects = 80, n_time = 6, order = 1, phi = 0.4, sigma = 1)
out <- run_stationarity_tests_gau(y, order = 1, verbose = FALSE)
out$summary

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