Prediction Intervals for Random-Effects Meta-Analysis

An implementation of prediction intervals for random-effects meta-analysis: Higgins et al. (2009) , Partlett and Riley (2017) , and Nagashima et al. (2019) , .


pimeta package

Prediction Intervals for Random-Effects Meta-Analysis

An implementation of prediction intervals for random-effects meta-analysis:

  • Higgins JPT, Thompson SG, Spiegelhalter DJ. A re-evaluation of random-effects meta-analysis. Journal of the Royal Statistical Society: Series A (Statistics in Society) 2009; 172(1): 137--159. doi:10.1111/j.1467-985X.2008.00552.x.
  • Partlett C, Riley RD. Random effects meta-analysis: Coverage performance of 95% confidence and prediction intervals following REML estimation. Statistics in Medicine 2017; 36(2): 301--317. doi:10.1002/sim.7140.
  • Nagashima K, Noma H, Furukawa TA. Prediction interval for random-effects meta-analysis: a confidence distribution approach. Statistical Methods in Medical Research 2019; 28(6): 1689--1702. doi:10.1177/0962280218773520. arXiv:1804.01054.

CRAN task view: Meta Analysis

Installation

# From CRAN:
install.packages("pimeta")

# Or the the development version from GitHub:
# install.packages("devtools")
devtools::install_github("nshi-stat/pimeta")

Reference manual

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install.packages("pimeta")

1.1.3 by Kengo Nagashima, 7 years ago


Browse source code at https://github.com/cran/pimeta


Authors: Kengo Nagashima [aut, cre] , Hisashi Noma [aut] , Toshi A. Furukawa [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports stats, Rcpp, ggplot2, scales, utils

Suggests knitr, rmarkdown

Linking to Rcpp, RcppEigen


Imported by cdmeta.

Suggested by meta.


See at CRAN