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SIHR (version 2.1.0)

ci.CATE: Confidence Intervals for Bias-corrected CATE Estimators

Description

Computes confidence intervals for bias-corrected estimators; Each row corresponds to a loading.

Usage

# S3 method for CATE
ci(
  object,
  probability = FALSE,
  alpha = 0.05,
  alternative = c("two.sided", "less", "greater"),
  ...
)

Value

A matrix with columns giving lower and upper confidence limits for bias-corrected estimators.

Arguments

object

An object of class `CATE`, a result of a call to `CATE`

probability

Whether returns CI with probability transformation or not (default=FALSE)

alpha

Level of significance to construct confidence interval (default=0.05)

alternative

Indicates the alternative hypothesis to construct confidence interval and must be one of "two.sided" (default), "less", or "greater".

...

arguments to pass down

Examples

Run this code
if (FALSE) {
## -- Continuing the CATE(.) example:
out <- ci(Est)
out
}

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