Package: metaforest 0.1.5
metaforest: Exploring Heterogeneity in Meta-Analysis using Random Forests
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.
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metaforest/json (API)
NEWS
# Install 'metaforest' in R: |
install.packages('metaforest', repos = c('https://cjvanlissa.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cjvanlissa/metaforest/issues
- curry - Happy to Help?
- fukkink_lont - Does training matter? A meta-analysis of caregiver training studies
Last updated 4 months agofrom:757ca35a6b. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win | OK | Nov 04 2024 |
R-4.5-linux | OK | Nov 04 2024 |
R-4.4-win | OK | Nov 04 2024 |
R-4.4-mac | OK | Nov 04 2024 |
R-4.3-win | OK | Nov 04 2024 |
R-4.3-mac | OK | Nov 04 2024 |
Exports:coef_testextract_proximityMetaForestModelInfo_mfModelInfo_rmaPartialDependencepreselectpreselect_varsSimulateSMDVarImpPlotWeightedScatter
Dependencies:clicolorspacedata.tablefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSmathjaxrMatrixmetadatmetaformgcvmunsellnlmenumDerivpbapplypillarpkgconfigR6rangerRColorBrewerRcppRcppEigenrlangscalestibbleutf8vctrsviridisLitewithr