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
.