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:Han Du [aut], Ge Jiang [aut, cre], Zijun Ke [ctb]

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Last updated 4 years agofrom:e46320fbb1. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:mc.dmc.fcormc.lnOR

Dependencies:base64encboot.heterogeneitybslibcachemclidigestevaluatefastmapfontawesomefsgluehighrHSAUR3htmltoolsjquerylibjsonliteknitrlatticelifecyclemathjaxrMatrixmemoisemetadatmetaformimenlmenumDerivpbapplypbmcapplyR6rappdirsrlangrmarkdownsasstinytexxfunyaml