explore_stephenson_s: Explore power across a range of s values

In li-xinran/RIQITE: Randomization Inference for Quantiles of Individual Treatment Effects

Explore power across a range of s values

Description

Conduct power simulation against a specific data generating process to see how power changes as a function of s in that scenario.

Usage

explore_stephenson_s(
  s = c(2, 5, 10, 30),
  n,
  Y0_distribution = rnorm,
  tx_function = "constant",
  p_tx = 0.5,
  R = 100,
  iter_per_set = 10,
  percentile = 1,
  alpha = 0.05,
  c = 0,
  k.vec = NULL,
  quantile_n_CI = NA,
  targeted_power = TRUE,
  alternative = "greater",
  nperm = 1000,
  parallel = FALSE,
  n_workers = NULL,
  calc_ICC = FALSE,
  verbose = FALSE,
  ...
)

Arguments

s	Numeric list of s values to test using the Stephenson rank.
p_tx	Proportion of units to be treated.
R	Number of simulation iterations to do.
percentile	For targeted power, what percentile to target.
alpha	Significance level of the test.
c	Threshold bound for treatment impacts for hypothesis testing.
k.vec	Which quantiles to examine (if targeted_power = FALSE).
quantile_n_CI	What quantile of the distribution of lower confidence limits for the number of significant units to calculate. NA (the default) means calculate mean instead of median. 0.5 would report the median size of the confidence interval for number of significant units.
targeted_power	TRUE means focus on passed percentile and calculate power for that specific quantile. FALSE means calculate simultenaous confidence intervals for all quantiles, leaving power caculation to post-simulation exploration.
alternative	A character takes value "greater" and "less", indicating the direction of alternative hypotheses.

li-xinran/RIQITE documentation built on July 1, 2023, 6:58 p.m.