The metafor Package

A Meta-Analysis Package for R

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May 14th, 2019: Version 2.1-0 Out

After almost 2 years, I have finally released a new version of the metafor package (version 2.1-0). Lots of updates have been made to the package in the meantime (if I didn't miscount, 195 commits since the last version). The package now includes 33,146 lines of code (strictly speaking, 23,769 once we remove empty lines and 20,682 if we also remove comment lines). The full changelog can be found here.

Some of the more interesting (and user-visible) additions are the vif() function (for variance inflation factors); the reporter() function (for dynamically generating analysis reports; note that this is work in progress); output can be styled if the crayon package is loaded; cooks.distance(), rstandard(), and rstudent() can compute cluster-level Cook's distances and standardized/studentized residual values for models; now allows for continuous-time autoregressive and various spatial correlation structures; escalc() can now compute the coefficient of variation ratio and the variability ratio for pre-post or matched designs; and various improvements to the forest() and funnel() functions.

May 2nd, 2019: Model Selection and Multiple Imputation

I have updated the page on how to conduct model selection and multimodel inference (see here), which now also discusses how to use the MuMIn package for these analyses. In addition, I've added a new page, discussing the use of the mice package in combination with metafor for multiple imputations in the context of a meta-analysis (see here).

news/news.txt ยท Last modified: 2019/05/14 19:39 by Wolfgang Viechtbauer