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metacart (version 2.0-3)

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

Description

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) and Li et al. (2017) .

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Version

Install

install.packages('metacart')

Monthly Downloads

628

Version

2.0-3

License

GPL (>= 2)

Maintainer

Juan Claramunt Gonzalez

Last Published

July 10th, 2020

Functions in metacart (2.0-3)

REmrt

Random effects meta-tree
find_triplet

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

A function to find the optimal combination of first two splits, and the corresponding Q-between given the first split
plot.FEmrt

Visualisation of a FE meta-tree
.ReplaceNA

Replace missing values by the overall weighted mean
oval_draw

A function to draw an oval
print.REmrt

Print function for REmrt
print.FEmrt

Print function for FEmrt
FEmrt

Fixed effect meta-tree
.compute_tau_

Compute tau2
predict.REmrt

Predictions from a fitted metacart object
make_first_split

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

A function to fit the tree with look-ahead option
summary.REmrt

Summary of the results of a RE meta-tree object
.partition

Partition the test set based on a trained tree
prednode_cpp

A function to parition newdata based on the fitted model
CI_draw

A function to draw the confidence interval as a diamond
metacart-package

R package for meta-CART
plot.REmrt

Visualisation of a RE meta-tree
treepruner

Prune a tree
predict.FEmrt

Predictions from a fitted metacart object
summary.FEmrt

Summary of the results of a FE meta-tree object
re.cutoff_cpp

A function to find the split point
encodeHtml

A function to deal with symbols
updateNodes

A function to update node
compute_rebetQ

A function to compute RE Q-between
dat.BCT2009

A subset of data from Michie et al. (2009)
.compute_re_Q_

Compute re Q for different values of tau2
dat.balanced

A simulated meta-analytic data set with balanced pure interaction effects
Xvalid_all

A function to compute cross-validation errors
.ComputeY

Compute the subgroup effect sizes
.PredY

Predict effect size for the test set
SimData

A simulated meta-analytic data set