2017-Apr-24, 13:31:31

I plan to add more meta-analytic tests, but it slow going because I could not find any good implementations, so I have to write my own. I'm building a set of related meta-analytic functions that can then be widely applied to different datasets at ease.

So far I have covered:

- forest plot

- funnel plot

- p-curve + binomial test

- test of insufficient variance

To be added:

- some more funnel functionality

- more forest functionality e.g. cumulative meta-analysis by year/effect size

- z-curve

- p-uniform

- R-index

- more?

These will be available under the meta_ prefix in my package. Once the functions are reasonably well-tested and stable (e.g. 1 year after use), I will move them to their own package.

All of the above work automatically when applied to an rma object. This is the most commonly used meta-analytic package in R as far as I know, and thus the prime target for building on top of.

So far I have covered:

- forest plot

- funnel plot

- p-curve + binomial test

- test of insufficient variance

To be added:

- some more funnel functionality

- more forest functionality e.g. cumulative meta-analysis by year/effect size

- z-curve

- p-uniform

- R-index

- more?

These will be available under the meta_ prefix in my package. Once the functions are reasonably well-tested and stable (e.g. 1 year after use), I will move them to their own package.

All of the above work automatically when applied to an rma object. This is the most commonly used meta-analytic package in R as far as I know, and thus the prime target for building on top of.