Minimum detectable effect sizes based on the correlated-and-hierarchical effects working model with robust variance estimation.

POMADE

Power for Meta-Analysis of Dependent Effects

Authors

Mikkel H. Vembye

James E. Pustejovsky

An R package for computing power levels, minimum detectable effect sizes, and minimum required sample sizes for the test of the overall average effect size in meta-analysis of dependent effect sizes. The package also includes functions for creating plots of power analysis results.

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Citation

BibTeX citation:
@software{vembye2024,
  author = {Vembye, Mikkel H. and Pustejovsky, James E.},
  title = {POMADE},
  version = {0.2.0},
  date = {2024-02-13},
  url = {https://jepusto.netlify.app/software/POMADE/},
  doi = {10.32614/CRAN.package.POMADE},
  note = {R package},
  langid = {en}
}
For attribution, please cite this work as:
Vembye, M. H., & Pustejovsky, J. E. (2024). POMADE (Version 0.2.0) [R package]. https://doi.org/10.32614/CRAN.package.POMADE