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Conduct random forests-based meta-analysis, obtain partial dependence plots for metaforest and classic meta-analyses, and cross-validate and tune metaforest- and classic meta-analyses in conjunction with the caret package. A requirement of classic meta-analysis is that the studies being aggregated are conceptually similar, and ideally, close replications. However, in many fields, there is substantial heterogeneity between studies on the same topic. Classic meta-analysis lacks the power to assess more than a handful of univariate moderators. MetaForest, by contrast, has substantial power to explore heterogeneity in meta-analysis. It can identify important moderators from a larger set of potential candidates (Van Lissa, 2020). This is an appealing quality, because many meta-analyses have small sample sizes. Moreover, MetaForest yields a measure of variable importance which can be used to identify important moderators, and offers partial prediction plots to explore the shape of the marginal relationship between moderators and effect size.
| Version: | 0.1.4 |
| Depends: | R (≥ 3.5.0), ggplot2, metafor, ranger, data.table, methods |
| Imports: | gtable, grid |
| Suggests: | testthat, caret, knitr, rmarkdown, covr |
| Published: | 2024-01-26 |
| DOI: | 10.32614/CRAN.package.metaforest |
| Author: | Caspar J. van Lissa |
| Maintainer: | Caspar J. van Lissa <c.j.vanlissa at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | metaforest citation info |
| Materials: | README NEWS |
| In views: | MetaAnalysis |
| CRAN checks: | metaforest results |
| Reference manual: | metaforest.pdf |
| Vignettes: |
Introduction to metaforest |
| Package source: | metaforest_0.1.4.tar.gz |
| Windows binaries: | r-devel: metaforest_0.1.4.zip, r-release: metaforest_0.1.4.zip, r-oldrel: metaforest_0.1.4.zip |
| macOS binaries: | r-release (arm64): metaforest_0.1.4.tgz, r-oldrel (arm64): metaforest_0.1.4.tgz, r-release (x86_64): metaforest_0.1.4.tgz, r-oldrel (x86_64): metaforest_0.1.4.tgz |
| Old sources: | metaforest archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.