Package: boot.heterogeneity 1.1.5
boot.heterogeneity: A Bootstrap-Based Heterogeneity Test for Meta-Analysis
Implements a bootstrap-based heterogeneity test for standardized mean differences (d), Fisher-transformed Pearson's correlations (r), and natural-logarithm-transformed odds ratio (or) in meta-analysis studies. Depending on the presence of moderators, this Monte Carlo based test can be implemented in the random- or mixed-effects model. This package uses rma() function from the R package 'metafor' to obtain parameter estimates and likelihoods, so installation of R package 'metafor' is required. This approach refers to the studies of Anscombe (1956) <doi:10.2307/2332926>, Haldane (1940) <doi:10.2307/2332614>, Hedges (1981) <doi:10.3102/10769986006002107>, Hedges & Olkin (1985, ISBN:978-0123363800), Silagy, Lancaster, Stead, Mant, & Fowler (2004) <doi:10.1002/14651858.CD000146.pub2>, Viechtbauer (2010) <doi:10.18637/jss.v036.i03>, and Zuckerman (1994, ISBN:978-0521432009).
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boot.heterogeneity/json (API)
# Install 'boot.heterogeneity' in R: |
install.packages('boot.heterogeneity', repos = c('https://gabriellajg.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gabriellajg/boot.heterogeneity/issues
Last updated 3 years agofrom:a1261717bf. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 13 2024 |
R-4.5-win | NOTE | Nov 13 2024 |
R-4.5-linux | NOTE | Nov 13 2024 |
R-4.4-win | NOTE | Nov 13 2024 |
R-4.4-mac | NOTE | Nov 13 2024 |
R-4.3-win | NOTE | Nov 13 2024 |
R-4.3-mac | NOTE | Nov 13 2024 |
Exports:boot.dboot.fcorboot.lnOR
Dependencies:base64encbslibcachemclidigestevaluatefastmapfontawesomefsgluehighrHSAUR3htmltoolsjquerylibjsonliteknitrlatticelifecyclemathjaxrMatrixmemoisemetadatmetaformimenlmenumDerivpbapplypbmcapplyR6rappdirsrlangrmarkdownsasstinytexxfunyaml