W_critical_value: Calculating the critical value for the W distribution as...
In EquiTrends: Equivalence Testing for Pre-Trends in Difference-in-Differences Designs
View source: R/rmsTest_supportingFunctions.R
W_critical_value R Documentation
Calculating the critical value for the W distribution as construced in Dette & Schumann (2024).
Description
Calculating the critical value for the W distribution as construced in Dette & Schumann (2024).
Usage
W_critical_value(significance_level)
Arguments
significance_level
The significance level for the test. Must be one of 0.01, 0.025, 0.05, 0.1, 0.2, 0.8, 0.9, 0.95, 0.975, 0.99.
Value
A numeric scalar with the critical value for the W distribution at the given significance level.
References
Dette, H., & Schumann, M. (2024). "Testing for Equivalence of Pre-Trends in Difference-in-Differences Estimation." Journal of Business & Economic Statistics, 1–13. DOI: \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/07350015.2024.2308121")}
EquiTrends documentation built on Sept. 11, 2024, 7:40 p.m.
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View source: R/rmsTest_supportingFunctions.R
| W_critical_value | R Documentation |
Calculating the critical value for the W distribution as construced in Dette & Schumann (2024).
Description
Calculating the critical value for the W distribution as construced in Dette & Schumann (2024).
Usage
W_critical_value(significance_level)
Arguments
significance_level |
The significance level for the test. Must be one of 0.01, 0.025, 0.05, 0.1, 0.2, 0.8, 0.9, 0.95, 0.975, 0.99. |
Value
A numeric scalar with the critical value for the W distribution at the given significance level.
References
Dette, H., & Schumann, M. (2024). "Testing for Equivalence of Pre-Trends in Difference-in-Differences Estimation." Journal of Business & Economic Statistics, 1–13. DOI: \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/07350015.2024.2308121")}
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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