meanTest_optim_func: Finding the minimum equivalence threshold for the mean...
In EquiTrends: Equivalence Testing for Pre-Trends in Difference-in-Differences Designs
View source: R/meanTest_supportingFunctions.R
meanTest_optim_func R Documentation
Finding the minimum equivalence threshold for the mean equivalence test
Description
meanTest_optim_func solves the optimization problem to find the minimum equivalence threshold for which one can reject the null hypothesis of non-negligible pre-trend differences at a given significance level for the equivalence test based on the mean placebo coefficient.
Usage
meanTest_optim_func(coef, sd, alpha)
Arguments
coef
The estimated absolute value of the mean placebo coefficients
sd
The estimated standard deviation of the mean of the placebo coefficients
alpha
The significance level
Value
The minimum equivalence threshold for which the null hypothesis of non-negligible differences can be rejected for the equivalence test based on the mean placebo coefficient.
EquiTrends documentation built on Sept. 11, 2024, 7:40 p.m.
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View source: R/meanTest_supportingFunctions.R
| meanTest_optim_func | R Documentation |
Finding the minimum equivalence threshold for the mean equivalence test
Description
meanTest_optim_func solves the optimization problem to find the minimum equivalence threshold for which one can reject the null hypothesis of non-negligible pre-trend differences at a given significance level for the equivalence test based on the mean placebo coefficient.
Usage
meanTest_optim_func(coef, sd, alpha)
Arguments
coef |
The estimated absolute value of the mean placebo coefficients |
sd |
The estimated standard deviation of the mean of the placebo coefficients |
alpha |
The significance level |
Value
The minimum equivalence threshold for which the null hypothesis of non-negligible differences can be rejected for the equivalence test based on the mean placebo coefficient.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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