Package index
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MetaForest() - Conduct a MetaForest analysis to explore heterogeneity in meta-analytic data.
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ModelInfo_mf() - Returns a MetaForest ModelInfo list for use with caret
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ModelInfo_rma() - Returns an rma ModelInfo list for use with caret
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PartialDependence() - PartialDependence: Partial dependence plots
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SimulateSMD() - Simulates a meta-analytic dataset
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VarImpPlot() - Plots variable importance for a MetaForest object.
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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.
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coef_test() - Test coefficients of a model
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curry - Happy to Help?
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extract_proximity() - Extract proximity matrix for a MetaForest object.
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fukkink_lont - Does training matter? A meta-analysis of caregiver training studies
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plot(<MetaForest>) - Plots cumulative MSE for a MetaForest object.
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predict(<MetaForest>) - MetaForest prediction
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preselect() - Preselect variables for MetaForest analysis
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preselect_vars() - Extract variable names from mf_preselect object
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print(<summary.MetaForest>) - Prints summary.MetaForest object.