metacart2.0-3 package

Meta-CART: A Flexible Approach to Identify Moderators in Meta-Analysis

CI_draw

A function to draw the confidence interval as a diamond

compute_rebetQ

A function to compute RE Q-between

dot-compute_re_Q_

Compute re Q for different values of tau2

dot-compute_tau_

Compute tau2

dot-ComputeY

Compute the subgroup effect sizes

dot-partition

Partition the test set based on a trained tree

dot-PredY

Predict effect size for the test set

dot-ReplaceNA

Replace missing values by the overall weighted mean

encodeHtml

A function to deal with symbols

FEmrt

Fixed effect meta-tree

find_second_split

A function to find the optimal combination of first two splits, and th...

find_triplet

A function to find the best triplets of parent, moderator, and split p...

make_first_split

A function to list all possible split points for the first split

metacart-package

R package for meta-CART

oval_draw

A function to draw an oval

plot.FEmrt

Visualisation of a FE meta-tree

plot.REmrt

Visualisation of a RE meta-tree

predict.FEmrt

Predictions from a fitted metacart object

predict.REmrt

Predictions from a fitted metacart object

prednode_cpp

A function to parition newdata based on the fitted model

print.FEmrt

Print function for FEmrt

print.REmrt

Print function for REmrt

re.cutoff_cpp

A function to find the split point

REmrt

Random effects meta-tree

REmrt_GS_

A function to fit the tree with look-ahead option

summary.FEmrt

Summary of the results of a FE meta-tree object

summary.REmrt

Summary of the results of a RE meta-tree object

treepruner

Prune a tree

updateNodes

A function to update node

Xvalid_all

A function to compute cross-validation errors

Meta-CART integrates classification and regression trees (CART) into meta-analysis. Meta-CART is a flexible approach to identify interaction effects between moderators in meta-analysis. The method is described in Dusseldorp et al. (2014) <doi:10.1037/hea0000018> and Li et al. (2017) <doi:10.1111/bmsp.12088>.

  • Maintainer: Juan Claramunt
  • License: GPL (>= 2)
  • Last published: 2020-07-10