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meta.shrinkage  

Meta-Analyses for Simultaneously Estimating Individual Means
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]
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:
0.1.0 (2021-11-19 08:10), 0.1.1 (2021-12-07 13:00), 0.1.2 (2022-01-03 17:50), 0.1.3 (2022-08-08 10:10)
Other packages that cited meta.shrinkage R package
View meta.shrinkage citation profile
Other R packages that meta.shrinkage depends, imports, suggests or enhances
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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