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pimeta  

Prediction Intervals for Random-Effects Meta-Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pimeta", "1.1.3")



Attach the package and use:
library("pimeta")
Maintained by
Kengo Nagashima
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-06
Latest Update: 2019-09-17
Description:
An implementation of prediction intervals for random-effects meta-analysis: Higgins et al. (2009) , Partlett and Riley (2017) , and Nagashima et al. (2019) , .
How to cite:
Kengo Nagashima (2018). pimeta: Prediction Intervals for Random-Effects Meta-Analysis. R package version 1.1.3, https://cran.r-project.org/web/packages/pimeta. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2018-04-06 18:38), 1.0.1 (2018-05-10 20:51), 1.1.0 (2018-09-14 11:10), 1.1.1 (2018-09-15 01:10), 1.1.2 (2019-03-11 09:40)
Other packages that cited pimeta R package
View pimeta citation profile
Other R packages that pimeta depends, imports, suggests or enhances
Complete documentation for pimeta
Functions, R codes and Examples using the pimeta R package
Some associated functions: cima . convert_bin . hyp . i2h . pain . pima . pimeta-package . plot.cima . plot.pima . print.cima . print.pima . print.pima_tau2h . pwchisq . sbp . setshift . tau2h . 
Some associated R codes: RcppExports.R .  Full pimeta package functions and examples
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