inspect: Computes Regression Discontinuity Design Effects
In metinbulus/cosa: Bound Constrained Optimal Sample Size Allocation

Description Usage Arguments Value Examples

Computes Regression Discontinuity Design Effects (RDDE) either based on analytic deviations (up to second order with interactions), an empirical score variable, or simulation.

  inspect.score(score = NULL, p = NULL, cutoff = NULL,
              treat.lower = FALSE, order = 1, interaction = FALSE,
              mu = 0, sigma = 1, k1 = -Inf, k2 =  Inf,
              dists = "normal", sim = FALSE, ndraw = 1000, nsim = 1000)

`sim`	logical; if `TRUE` results are based on simulation.
`score`	vector; score variable.
`p`	proportion of units in the treatment condition.
`cutoff`	decision threshold.
`treat.lower`	logical; if `TRUE` units below cutoff are treated.
`order`	integer >= 0; order of polynomial functional form specification for the score variable.
`interaction`	logical; if `TRUE` polynomial specification interacts with the treatment variable.
`mu`	mean of (uncentered) truncated normal - applies when `score = NULL` and `dists = "normal"`.
`sigma`	standard deviation of (uncentered) truncated normal - applies when `score = NULL` and `dists = "normal"`.
`k1`	left truncation point for (uncentered) empirical, truncated normal, or uniform distribution.
`k2`	right truncation point for (uncentered) empirical, truncated normal, or uniform distribution.
`dists`	char; type of distribution, `"normal"` or `"uniform"`.
`ndraw`	number of draws - applies when `sim = TRUE`.
`nsim`	number of simulations - applies when `sim = TRUE`.

`parms`	list; list of parameters used in the computation.
`cutoff`	decision threshold (computed if `p` is provided).
`treat.lower`	if `TRUE` units below cutoff are treated.
`p`	proportion of subjects treated (computed if `cutoff` is provided).
`order`	order of polynomial specification for the score variable.
`interaction`	if `TRUE` polynomial specification interacts with the treatment variable.
`center`	if `TRUE` the score variable is centered on the cutoff
`rdde`	regression discontinuity design effect.

  # based on an empirical score variable
  inspect.score(score = rnorm(10000), cutoff = 0)
  # based on analytic derivation
  inspect.score(cutoff = 0)
  # based on simulation
  inspect.score(sim = TRUE, cutoff = 0)