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wildmeta  

Cluster Wild Bootstrapping for Meta-Analysis
View on CRAN: Click here


Download and install wildmeta package within the R console
Install from CRAN:
install.packages("wildmeta")

Install from Github:
library("remotes")
install_github("cran/wildmeta")

Install by package version:
library("remotes")
install_version("wildmeta", "0.3.2")



Attach the package and use:
library("wildmeta")
Maintained by
Megha Joshi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-02
Latest Update: 2023-03-08
Description:
Conducts single coefficient tests and multiple-contrast hypothesis tests of meta-regression models using cluster wild bootstrapping, based on methods examined in Joshi, Pustejovsky, and Beretvas (2022) <doi:10.1002/jrsm.1554>.
How to cite:
Megha Joshi (2022). wildmeta: Cluster Wild Bootstrapping for Meta-Analysis. R package version 0.3.2, https://cran.r-project.org/web/packages/wildmeta. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.1.0 (2022-02-02 09:30), 0.2.0 (2022-06-29 09:30), 0.3.0 (2022-10-07 08:00), 0.3.1 (2023-02-15 18:00)
Other packages that cited wildmeta R package
View wildmeta citation profile
Other R packages that wildmeta depends, imports, suggests or enhances
Complete documentation for wildmeta
Functions, R codes and Examples using the wildmeta R package
Some associated functions: Wald_test_cwb . plot.Wald_test_wildmeta . reexports . run_cwb . 
Some associated R codes: S3_methods.R . Wald_test_wildmeta.R . globals.R . helpers.R . plot_wildmeta.R . rma.R . robu.R . robu_update.R . run_cwb.R .  Full wildmeta package functions and examples
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