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: 2026-07-03 22:00:33 UTC; root
Author: Hisashi Noma [aut, cre], Shonosuke Sugasawa [aut], Toshi A.
        Furukawa [aut]
Repository: https://nomahi.r-universe.dev
Date/Publication: 2023-11-08 08:31:35 UTC
RemoteUrl: https://github.com/cran/robustmeta
RemoteRef: HEAD
RemoteSha: 7993550ac47ef72439633ddd136afd24e4e9813a