Package: wildmeta 0.3.2

wildmeta: Cluster Wild Bootstrapping for Meta-Analysis

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>.

Authors:Megha Joshi [aut, cre], James Pustejovsky [aut], Pierce Cappelli [aut]

wildmeta_0.3.2.tar.gz
wildmeta_0.3.2.zip(r-4.7-any)wildmeta_0.3.2.zip(r-4.6-any)wildmeta_0.3.2.zip(r-4.5-any)
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
wildmeta/json (API)

# Install 'wildmeta' in R:

install.packages('wildmeta', repos = c('https://meghapsimatrix.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/meghapsimatrix/wildmeta/issues

On CRAN:

5.88 score 8 stars 36 scripts 2.7k downloads 4 exports 16 dependencies

Last updated from:4dd29456dc. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	209
source / vignettes	OK	719
linux-release	OK	232
macos-release	OK	185
macos-oldrel	OK	135
windows-devel	OK	156
windows-release	OK	182
windows-oldrel	OK	194
wasm-release	OK	112

Exports:constrain_equal constrain_zero run_cwb Wald_test_cwb

Dependencies:cli clubSandwich digest lattice lifecycle mathjaxr Matrix metadat metafor nlme numDeriv pbapply rlang robumeta sandwich zoo

Cluster Wild Bootstrapping for Meta-Analysis

Rendered fromcwbmeta.Rmdusingknitr::rmarkdown

Last update: 2022-06-30
Started: 2020-11-24

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Plot distribution of bootstrap test statistics	plot.Wald_test_wildmeta
Calculate bootstrap outcomes or test statistics using cluster wild bootstrapping	run_cwb
Calculate p-values with cluster wild bootstrapping for meta-regression models.	Wald_test_cwb