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meta.shrinkage
View on CRAN: Click
here
Download and install meta.shrinkage package within the R console
Install from CRAN:
install.packages("meta.shrinkage")
Install from Github:
library("remotes")
install_github("cran/meta.shrinkage") Install by package version:
library("remotes")
install_version("meta.shrinkage", "0.1.4") Attach the package and use:
library("meta.shrinkage")
Maintained by
Nanami Taketomi
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-19
Latest Update: 2023-09-05
Description:
Implement meta-analyses for simultaneously estimating individual means with shrinkage,
isotonic regression and pretests. Include our original implementation of the isotonic regression via the pool-adjacent-violators algorithm (PAVA) algorithm.
For the pretest estimator, the confidence interval for individual means are provided.
Methodologies were published in
Taketomi et al. (2021) , Taketomi et al. (2022) ,
Taketomi et al. (2023-) (under review).
How to cite:
Nanami Taketomi (2021). meta.shrinkage: Meta-Analyses for Simultaneously Estimating Individual Means. R package version 0.1.4, https://cran.r-project.org/web/packages/meta.shrinkage. Accessed 12 Jun. 2026.
Previous versions and publish date:
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Complete documentation for meta.shrinkage
Functions, R codes and Examples using
the meta.shrinkage R package
Some associated functions: gpt . js . rjs . rml .
Some associated R codes: gpt.R . js.R . rjs.R . rml.R . Full meta.shrinkage package functions and examples
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