CausalMixGPD

Print an ATE-style effect object

print.causalmixgpd_ate() prints a compact summary for objects produced by ate, att, cate, or ate_rmean.

Usage

# S3 method for class 'causalmixgpd_ate'
print(x, digits = 3, max_rows = 6, ...)

Arguments

• x:

  A "causalmixgpd_ate" object from ate().

• digits:

  Number of digits to display.

• max_rows:

  Maximum number of estimate rows to display.

• …:

  Unused.

Value

The object x, invisibly.

Details

These objects summarize posterior treatment contrasts on the mean scale. For the marginal average treatment effect, $$\Delta = E(Y^1) - E(Y^0).$$ att() changes the standardization target to the treated population, cate() conditions on supplied covariate profiles, and ate_rmean() replaces the ordinary mean by a restricted mean \\int_0^c S_a(t)\dt
up to the chosen truncation point.

The print method shows the main effect table and setup metadata, but it is not a full diagnostic report. Use summary() for tabular summaries and plot() for graphical inspection of the same treatment-effect object.

See also

summary.causalmixgpd_ate, plot.causalmixgpd_ate, ate, cate.

Examples

if (FALSE) { # \dontrun{
cb <- build_causal_bundle(y = y, X = X, A = A, backend = "sb", kernel = "normal", components = 6)
fit <- run_mcmc_causal(cb, show_progress = FALSE)
a <- ate(fit, interval = "credible")
print(a)
} # }