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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")

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Version

Install

install.packages('pimeta')

Monthly Downloads

1,097

Version

1.1.3

License

GPL-3

Maintainer

Kengo Nagashima

Last Published

September 17th, 2019

Functions in pimeta (1.1.3)

print.pima

Print Results
setshift

Set-shifting data
tau2h

Calculating Heterogeneity Variance
pima

Calculating Prediction Intervals
sbp

Systolic blood pressure (SBP) data
pwchisq

The Distribution of a Positive Linear Combination of Chiqaure Random Variables
print.pima_tau2h

Print Results
pimeta-package

Prediction Intervals for Random-Effects Meta-Analysis
plot.pima

Plot Results
plot.cima

Plot Results
cima

Calculating Confidence Intervals
print.cima

Print Results
hyp

Hypertension data
pain

Pain data
convert_bin

Converting binary data
i2h

\(I^2\) heterogeneity measure