Description
Prediction Intervals for Random-Effects Meta-Analysis.
Description
An implementation of prediction intervals for random-effects meta-analysis: Higgins et al. (2009) <doi:10.1111/j.1467-985X.2008.00552.x>, Partlett and Riley (2017) <doi:10.1002/sim.7140>, and Nagashima et al. (2019) <doi:10.1177/0962280218773520>, <arXiv:1804.01054>.
README.md
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.
Installation
# From CRAN:
install.packages("pimeta")
# Or the the development version from GitHub:
# install.packages("devtools")
devtools::install_github("nshi-stat/pimeta")