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ClusterBootstrap

ClusterBootstrap is an R package that provides functionality for performing (generalized) linear models for the analysis of clustered data. You can download it from github with devtools:

#install.packages("devtools")
devtools::install_github("mathijsdeen/ClusterBootstrap")

The latest stable release can also be downloaded from the Comprehensive R Archive Network (CRAN), at https://cran.r-project.org/package=ClusterBootstrap.

The ClusterBootstrap package has dependencies on the following packages:

  • stats
  • utils
  • graphics
  • parallel
  • data.table

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Version

Install

install.packages('ClusterBootstrap')

Monthly Downloads

360

Version

2.0.0

License

GPL-3 | file LICENSE

Issues

0

Pull Requests

0

Stars

2

Forks

3

Maintainer

Mathijs Deen

Last Published

August 21st, 2025

Functions in ClusterBootstrap (2.0.0)

clusbootsample

Return data for specified bootstrap sample
medication

Medication data
clusterResample

Cluster Resampling
clusterBootstrap

Cluster Bootstrap
opposites

Opposites naming data
confint.clusbootglm

Confidence intervals for cluster bootstrap model parameters
clusbootglm

Fit generalized linear models with the cluster bootstrap
confint.clusterBootstrap

Confidence intervals for clusterBootstrap objects
coef.clusbootglm

Obtain coefficients from cluster bootstrap object
emm

Calculate estimated marginal means for a cluster bootstrap GLM
plot.clusbootptest

Plot results of a permutation test
plot.clusbootemm

Plot estimated marginal means for a cluster bootstrap GLM
ptest

Permutation test for group differences at within-subject levels
predict.clusbootglm

Predict method for cluster bootstrap GLM
summary.clusbootemm

Summarize estimated marginal means for cluster bootstrap GLM into a grid
summary.clusbootglm

Summarize output of cluster bootstrap GLM