Test Time-Varying Covariate Effects — test_tvc_effects • surveymixr

Performs Wald tests for significance of TVC effects, both overall and class-specific.

Usage

test_tvc_effects(
  object,
  covariate,
  test = c("both", "overall", "class_specific")
)

Arguments

object: Fitted SurveyMixrTVC object
covariate: Name of TVC to test
test: Character: "overall" (test across all classes), "class_specific" (test within each class), or "both"

Value

List with test statistics and p-values

Examples

if (FALSE) { # \dontrun{
fit <- gmm_survey_tvc(
  data = mcs_simulated,
  id = "id", time = "age", outcome = "selfcontrol",
  n_classes = 3, tvc = ~ ses, starts = 100
)

# Test significance of SES effect
test_results <- test_tvc_effects(fit, covariate = "ses")
print(test_results)
} # }