Package: mc.heterogeneity 0.1.2
mc.heterogeneity: A Monte Carlo Based Heterogeneity Test for Meta-Analysis
Implements a Monte Carlo 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 likelihood, so installation of R package 'metafor' is required. This approach refers to the studies of 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).
Authors:
mc.heterogeneity_0.1.2.tar.gz
mc.heterogeneity_0.1.2.zip(r-4.5)mc.heterogeneity_0.1.2.zip(r-4.4)mc.heterogeneity_0.1.2.zip(r-4.3)
mc.heterogeneity_0.1.2.tgz(r-4.4-any)mc.heterogeneity_0.1.2.tgz(r-4.3-any)
mc.heterogeneity_0.1.2.tar.gz(r-4.5-noble)mc.heterogeneity_0.1.2.tar.gz(r-4.4-noble)
mc.heterogeneity_0.1.2.tgz(r-4.4-emscripten)mc.heterogeneity_0.1.2.tgz(r-4.3-emscripten)
mc.heterogeneity.pdf |mc.heterogeneity.html✨
mc.heterogeneity/json (API)
# Install 'mc.heterogeneity' in R: |
install.packages('mc.heterogeneity', repos = c('https://gabriellajg.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:e46320fbb1. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win | NOTE | Nov 20 2024 |
R-4.5-linux | NOTE | Nov 20 2024 |
R-4.4-win | NOTE | Nov 20 2024 |
R-4.4-mac | NOTE | Nov 20 2024 |
R-4.3-win | NOTE | Nov 20 2024 |
R-4.3-mac | NOTE | Nov 20 2024 |
Dependencies:base64encboot.heterogeneitybslibcachemclidigestevaluatefastmapfontawesomefsgluehighrHSAUR3htmltoolsjquerylibjsonliteknitrlatticelifecyclemathjaxrMatrixmemoisemetadatmetaformimenlmenumDerivpbapplypbmcapplyR6rappdirsrlangrmarkdownsasstinytexxfunyaml