Prints summary.MetaForest object.
Usage
# S3 method for class 'summary.MetaForest'
print(x, digits, ...)
Examples
#> MetaForest results
#>
#> Type of analysis: MetaForest
#> Number of studies: 20
#> Number of moderators: 5
#> Number of trees in forest: 500
#> Candidate variables per split: 2
#> Minimum terminal node size: 5
#> OOB prediction error (MSE): 0.200
#> R squared (OOB): 0.494
#>
#> Tests for Heterogeneity:
#> tau2 tau2_SE I^2 H^2 Q-test df Q_p
#> Raw effect sizes: 0.300 0.134 73.989 3.845 72.922 19 0.000
#> Residuals (after MetaForest): 0.102 0.068 49.259 1.971 36.751 19 0.009
#>
#>
#> Random intercept meta-analyses:
#> Intercept se ci.lb ci.ub p
#> Raw effect sizes: -0.270 0.144 -0.552 0.012 0.061
#> Residuals (after MetaForest): -0.018 0.103 -0.220 0.185 0.862