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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wildmeta/json (API)
NEWS

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

Peer review:

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

On CRAN:

4.84 score 8 stars 14 scripts 1.2k downloads 4 exports 16 dependencies

Last updated 2 years agofrom:308c718f8a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-winOKNov 17 2024
R-4.5-linuxOKNov 17 2024
R-4.4-winOKNov 17 2024
R-4.4-macOKNov 17 2024
R-4.3-winOKNov 17 2024
R-4.3-macOKNov 17 2024

Exports:constrain_equalconstrain_zerorun_cwbWald_test_cwb

Dependencies:cliclubSandwichgluelatticelifecyclemathjaxrMatrixmetadatmetafornlmenumDerivpbapplyrlangrobumetasandwichzoo

Cluster Wild Bootstrapping for Meta-Analysis

Rendered fromcwbmeta.Rmdusingknitr::rmarkdownon Nov 17 2024.

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