unequal.unordered.cov {powerLATE} | R Documentation |
Subsidiary powerLATE Function
Description
Subsidiary function to perform power calculation with covariates under unequal assignment probability without ordered mean assumption.
Usage
unequal.unordered.cov(
power = NULL,
sig.level = NULL,
pi = NULL,
kappa = NULL,
N = NULL,
pZ = 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 |
pZ |
probability of being assigned to treatment. |
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
, equal.ordered.cov
, unequal.ordered.cov
.