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wildmeta
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.wildmeta . https://github.com/meghapsimatrix/wildmeta/issues . https://meghapsimatrix.github.io/wildmeta/index.html . wildmeta results . wildmeta.pdf . wildmeta_0.3.2.tar.gz . wildmeta_0.3.2.zip . wildmeta_0.3.2.zip . wildmeta_0.3.2.zip . wildmeta_0.3.2.tgz . wildmeta_0.3.2.tgz . wildmeta_0.3.2.tgz . wildmeta_0.3.2.tgz . wildmeta_0.3.2.tgz . wildmeta_0.3.2.tgz . wildmeta archive . https://CRAN.R-project.org/package=wildmeta .
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 30 Mar. 2025.
Previous versions and publish date:
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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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