BootCI {metacart} | R Documentation |
This functions performs bootstrap to compute the confidence intervals for the subgroup effect size estimates. This function is only applicable to Random effects metaregression trees with 2 terminal nodes or more.
Description
This functions performs bootstrap to compute the confidence intervals for the subgroup effect size estimates. This function is only applicable to Random effects metaregression trees with 2 terminal nodes or more.
Usage
BootCI(Metatree, nboot = 50)
Arguments
Metatree |
fitted tree of class |
nboot |
number of bootstrap samples. |
Value
tree containing the input tree, the Bootstrap estimates for the effect sizes and standard errors, Bootstrap estimate for tau2, and the Bootstrap bias correction.
Examples
set.seed(12345)
data(dat.BCT2009)
library(Rcpp)
REtree <- REmrt(g ~ T1 + T2+ T4 +T25, vi = vi, data = dat.BCT2009, c.pruning = 0)
BootTree<-BootCI(REtree, nboot = 3)
summary(BootTree)
[Package metacart version 3.0.0 Index]