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.
- Power approximations for overall average effects in meta-analysis of dependent effect sizes
- Investigating narrative performance in children with developmental language disorder: A systematic review and meta-analysis
- Meta-Analysis with robust variance estimation: Expanding the range of working models
- Imputing covariance matrices for meta-analysis of correlated effects