Extract Time-Varying Covariate Effects

Extracts estimated effects of time-varying covariates from a fitted model.

Usage

extract_tvc_effects(object, effect_type = "all", class = "all")

Arguments

object

Fitted SurveyMixrTVC object

effect_type

Character: "direct", "indirect", or "both"

class

Optional; specific class to extract (default = "all")

Value

Data frame with TVC effect estimates, standard errors, and p-values

Examples

if (FALSE) { # \dontrun{
# Simulate data with covariates
set.seed(789)
sim_data <- simulate_gmm_survey(
  n_individuals = 200,
  n_times = 4,
  n_classes = 3,
  covariates = TRUE,
  seed = 789
)

fit <- gmm_survey_tvc(
  data = sim_data,
  id = "id", time = "time", outcome = "outcome",
  n_classes = 3, tvc = ~ baseline_risk, tvc_effects = "both", starts = 20
)

# Extract all TVC effects
effects <- extract_tvc_effects(fit)
print(effects)

# Extract for specific class
effects_c1 <- extract_tvc_effects(fit, class = 1)
} # }