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]

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NEWS

# 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:

Conda:

4.82 score 9 stars 14 scripts 1.0k downloads 4 exports 17 dependencies

Last updated 3 months agofrom:04e07560aa. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 13 2025
R-4.5-winOKMar 13 2025
R-4.5-macOKMar 13 2025
R-4.5-linuxOKMar 13 2025
R-4.4-winOKMar 13 2025
R-4.4-macOKMar 13 2025
R-4.4-linuxOKMar 13 2025
R-4.3-winOKMar 13 2025
R-4.3-macOKMar 13 2025

Exports:constrain_equalconstrain_zerorun_cwbWald_test_cwb

Dependencies:cliclubSandwichdigestgluelatticelifecyclemathjaxrMatrixmetadatmetafornlmenumDerivpbapplyrlangrobumetasandwichzoo

Cluster Wild Bootstrapping for Meta-Analysis

Rendered fromcwbmeta.Rmdusingknitr::rmarkdownon Mar 13 2025.

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