Print Method for r3d Objects

Gives a concise overview of an r3d object's main properties, including the design type (sharp or fuzzy), local polynomial order, sample size, and bandwidth choice. It also shows a numeric summary (min, median, max) of the estimated distributional RD effect \(\tau(q)\).

# S3 method for class 'r3d'
print(x, ...)

Arguments

x

An r3d object returned by r3d.

...

Additional arguments (not used).

Value

Returns the x object invisibly.

Details

This function is invoked automatically when an r3d object is printed on the console, e.g., simply by typing its name. For a more detailed summary, use summary.r3d.

Examples

# \donttest{
  set.seed(42)
  n <- 50
  X <- runif(n, -1, 1)
  Y_list <- lapply(seq_len(n), function(i) rnorm(20, mean = 2 + 2 * (X[i] >= 0)))
  fit <- r3d(X, Y_list, cutoff = 0, method = "simple", bandwidths = 0.5)
  print(fit)
#> R3D: Regression Discontinuity with Distributional Outcomes
#> -------------------------------------------------------
#> Method: simple 
#> Type: Sharp RDD 
#> Polynomial order: 2 
#> Bandwidths: MSE-optimal (varies by quantile)
#> Sample size: 50 
#> Quantiles evaluated: 99 
#> Bootstrap: NO
#> 
#> Treatment Effect Summary:
#>    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
#>  0.9953  1.5632  1.6214  1.5874  1.7094  2.0216 
#> 
#> Use summary() for more details and plot() for visualization
# }