equal.ordered.cov {powerLATE}R Documentation

Subsidiary powerLATE Function

Description

Subsidiary function to perform power calculation with covariates under equal assignment probability with ordered mean assumption.

Usage

equal.ordered.cov(
  power = NULL,
  sig.level = NULL,
  pi = NULL,
  kappa = NULL,
  N = NULL,
  r2dw = NULL,
  r2yw = NULL
)

Arguments

power

power of test (1 minus Type II error probability)

sig.level

significance level (Type I error probability).

pi

compliance rate. Equivalently, average causal effect of Z on D.

kappa

effect size

N

total number of observations

r2dw

proportion of variation in D left unexplained by Z that is explained by W.

r2yw

proportion of variation in Y left unexplained by Z that is explained by W.

Value

A vector of values for one in {kappa, N, power} that is not supplied by the user.

Note

This function is called internally and thus should not be used directly.

Author(s)

Kirk Bansak and Eddie Yang

References

Bansak, K. (2020). A Generalized Approach to Power Analysis for Local Average Treatment Effects. Statistical Science, 35(2), 254-271.

See Also

equal.unordered.cov, unequal.unordered.cov, unequal.ordered.cov.


[Package powerLATE version 0.1.2 Index]