Package: robustmeta
Type: Package
Title: Robust Inference for Meta-Analysis with Influential Outlying
        Studies
Version: 1.2-1
Date: 2023-11-08
Authors@R: c(person("Hisashi", "Noma", email="noma@ism.ac.jp", role=c("aut","cre")), person("Shonosuke", "Sugasawa", role=c("aut")), person("Toshi A.", "Furukawa", role=c("aut")))
Maintainer: Hisashi Noma <noma@ism.ac.jp>
Description: Robust inference methods for fixed-effect and random-effects models of meta-analysis are implementable. The robust methods are developed using the density power divergence that is a robust estimating criterion developed in machine learning theory, and can effectively circumvent biases and misleading results caused by influential outliers. The density power divergence is originally introduced by Basu et al. (1998) <doi:10.1093/biomet/85.3.549>, and the meta-analysis methods are developed by Noma et al. (2022) <forthcoming>.
Depends: R (>= 3.5.0)
Imports: stats, metafor
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-11-08 06:51:42 UTC; Hisashi
Author: Hisashi Noma [aut, cre],
  Shonosuke Sugasawa [aut],
  Toshi A. Furukawa [aut]
Repository: CRAN
Date/Publication: 2023-11-08 07:10:02 UTC
Built: R 4.6.0; ; 2026-04-26 01:48:32 UTC; unix
