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news:news [2021/06/09 12:58] – Wolfgang Viechtbauer | news:news [2022/04/21 15:45] – Wolfgang Viechtbauer | ||
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- | ==== June 9th, 2021: Version 3.0 Released on CRAN ==== | + | ==== 2022-04-21: Version 3.4 Released on CRAN ==== |
- | A new version of the metafor package (version 3.0) has been published on CRAN. This version includes a lot of updates that have accumulated in the development version of the package over the past 14-15 months. Some highlights: | + | A new version of the metafor package (version 3.4) has been released. Some highlights: |
- | * The documentation has been further improved. I now make use of the [[https:// | + | * The '' |
- | * '' | + | * The '' |
- | * As another technique related to publication/ | + | * For meta-analyses involving complex dependency structures, |
- | * The '' | + | * The '' |
- | * One can now also fit so-called ' | + | * A few more measures were added to '' |
- | * The '' | + | * '' |
- | * Two functions were added that are related | + | * Even more optimizer choices for '' |
- | * Sometimes, it might be necessary to aggregate a meta-analytic dataset with multiple outcomes from the same study to the study level. An '' | + | * All datasets |
- | * When using functions that allow for parallel processing, progress bars can now also be shown, thanks to the [[https://cran.r-project.org/package=pbapply|pbapply]] package. Gives you an idea whether to just grab a coffee or go out for lunch while your computer is chugging along. | + | * A bunch of smaller convenience features (e.g., some '' |
- | * 24 new datasets were added (there are now over 60 datasets included in the package). These datasets also cover advanced methodology, such as multivariate/multilevel models, network meta-analysis, phylogenetic meta-analysis, | + | * Lots of documentation updates, including a description of [[https://wviechtb.github.io/metafor/ |
- | Lots of smaller tweaks/ | + | The full changelog can be found [[: |
- | ==== April 21st, 2021: Better Degrees of Freedom Calculation | + | ==== 2022-03-20: Forest Plot with Exact Confidence Intervals |
- | In random/ | + | A question was recently raised on the [[https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis|R-sig-meta-analysis]] mailing list that asked about the difference between the confidence intervals |
- | The Knapp-Hartung method cannot be directly generalized to more complex models as can be fitted with the [[https:// | + | ==== 2022-03-12: Over 10,000 Citations ==== |
- | ==== April 3rd, 2021: Scatter Plots / Bubble Plots for Meta-Regression Models ==== | + | Since I don't obsessively check my Google Scholar profile like everybody else does, it is by mere coincidence that I noticed that my [[https:// |
- | I finally got around to adding a function | + | ==== 2022-03-06: Specifying Inputs |
+ | Unfortunately, | ||
+ | |||
+ | ==== 2022-01-02: More Forest Plot Examples ==== | ||
+ | |||
+ | Happy New Year! Hope this one will be at least marginally less crazy than the previous ones ... | ||
+ | |||
+ | I was recently asked whether I would add the feature to show multiple confidence intervals for each of the studies in a forest plot (e.g., by using lines with varying thickness) to the metafor package. Turns out that one can already do this without too much difficulty using the existing tools, simply by superimposing two forest plots on top of each other. This is illustrated [[plots: | ||
+ | |||
+ | I also wanted to see to what extent one can reproduce forest plots created by different software or using the aesthetics of certain journals. I started with the recreation of a forest plot that was obtained using RevMan, the software provided by the Cochrane Collaboration for conducting and authoring Cochrane reviews. You can find the figure and corresponding code for this [[plots: | ||
+ | |||
+ | Although it takes a bit of effort to recreate these figures (especially if one wants to make them look almost identical to the originals), it shows that one can essentially recreate any forest plot using the various '' |
news/news.txt · Last modified: 2024/03/29 10:44 by Wolfgang Viechtbauer