R: Exploring Heterogeneity in Meta-Analysis using Random Forests

# Exploring Heterogeneity in Meta-Analysis using Random Forests

## Documentation for package ‘metaforest’ version 0.1.5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

coef_test | Test coefficients of a model
curry | Happy to Help?
extract_proximity | Extract proximity matrix for a MetaForest object.
fukkink_lont | Does training matter? A meta-analysis of caregiver training studies
MetaForest | Conduct a MetaForest analysis to explore heterogeneity in meta-analytic data.
ModelInfo_mf | Returns a MetaForest ModelInfo list for use with caret
ModelInfo_rma | Returns an rma ModelInfo list for use with caret
PartialDependence | PartialDependence: Partial dependence plots
plot.MetaForest | Plots cumulative MSE for a MetaForest object.
predict.MetaForest | MetaForest prediction
preselect | Preselect variables for MetaForest analysis
preselect_vars | Extract variable names from mf_preselect object
print.summary.MetaForest | Prints summary.MetaForest object.
SimulateSMD | Simulates a meta-analytic dataset
VarImpPlot | Plots variable importance for a MetaForest object.
WeightedScatter | Plots weighted scatterplots for meta-analytic data. Can plot effect size as a function of either continuous (numeric, integer) or categorical (factor, character) predictors.