summary_power_results: Summarize set of power simulation results

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

Summarize set of power simulation results

Description

Summarize the CI_precision simulation to compare the performance of various Stephenson rank statistics.

Usage

summary_power_results(
  result,
  alternative = "greater",
  c = 0,
  quantile_n_CI = NA
)

Arguments

result	A data frame with one row for each quantile in the result object passed (e.g., the result from calc_power_finite() with targeted_power=FALSE).
alternative	A character takes value "greater" and "less", indicating the direction of alternative hypotheses.
c	A number specifying the cutoff.
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.

Details

Calculates three types of precision. First, we summarize the distribution of the confidence limit for the number of units with effects passing the threshold cutoff 'c' (default of c=0). We also, for each rank, calculate the median confidence limits for the individual treatment effect for that rank. Finally, we calculate the power for testing whether the individual treatment effect passes the threshold cutoff for each rank.

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