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robustmeta  

Robust Inference for Meta-Analysis with Influential Outlying Studies
View on CRAN: Click here


Download and install robustmeta package within the R console
Install from CRAN:
install.packages("robustmeta")

Install from Github:
library("remotes")
install_github("cran/robustmeta")

Install by package version:
library("remotes")
install_version("robustmeta", "1.2-1")



Attach the package and use:
library("robustmeta")
Maintained by
Hisashi Noma
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-07-21
Latest Update: 2023-11-08
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) , and the meta-analysis methods are developed by Noma et al. (2022) .
How to cite:
Hisashi Noma (2022). robustmeta: Robust Inference for Meta-Analysis with Influential Outlying Studies. R package version 1.2-1, https://cran.r-project.org/web/packages/robustmeta. Accessed 21 Dec. 2024.
Previous versions and publish date:
1.1-1 (2022-07-21 14:50)
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View robustmeta citation profile
Other R packages that robustmeta depends, imports, suggests or enhances
Complete documentation for robustmeta
Functions, R codes and Examples using the robustmeta R package
Some associated functions: clbp . rmeta . robustmeta . varenicline . 
Some associated R codes: Full robustmeta package functions and examples
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