ci_quantile: Randomization inference for quantiles of individual treatment...

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

Randomization inference for quantiles of individual treatment effects

Description

Obtain one-sided or two-sided confidence intervals for all quantiles of individual treatment effects

Usage

ci_quantile(
  Z,
  Y,
  k.vec = NULL,
  alternative = "greater",
  method.list = list(name = "Stephenson", s = 10),
  score = NULL,
  stat.null = NULL,
  nperm = 10^6,
  Z.perm = NULL,
  alpha = 0.05,
  tol = 10^(-3),
  switch = TRUE
)

Arguments

Z	An n dimensional treatment assignment vector.
Y	An n dimensional observed outcome vector.
k.vec	A vector that specifies the quantiles of individual effects under investigation. If it equals NULL, then we consider all quantiles of individual effects.
alternative	A character takes value "greater", "less" and "two.sided", indicating whether the confidence intervals are one-sided with lower or upper confidence limits or two-sided.
method.list	A list specifies the choice of the rank sum test statistic. For example, list(name="Wilcoxon") means the Wilcoxon rank sum statistic, and list(name = "Stephenson", s = 10) means the Stephenson rank sum statistic with parameter s=10.
score	An n dimensional transformed ranks, i.e., (phi(1), phi(2), ..., phi(n)), where phi() denotes the rank transformation function.
stat.null	An vector whose empirical distribution approximates the randomization distribution of the rank sum statistic. If NULL, this will be calculated internally.
nperm	A positive integer representing the number of permutations for approximating the randomization distribution of the rank sum statistic.
Z.perm	A n \times nperm matrix that specifies the permutated assignments for approximating the null distribution of the test statistic.
alpha	A numerical object, where 1-alpha indicates the confidence level.
tol	A numerical object specifying the precision of the obtained confidence intervals. For example, if tol = 10^(-3), then the confidence limits are precise up to 3 digits.
switch	A logical object indicating whether performing treatment label switching to make the treated group have larger size.

Value

A dataframe with each row corresponding to the lower and upper confidence limits of the given tau(k). Column names of "lower" and "upper".

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