i2h: I^2 heterogeneity measure
In nshi-stat/pimeta: Prediction Intervals for Random-Effects Meta-Analysis
i2h R Documentation
I^2 heterogeneity measure
Description
Returns the estimator for
(Higgins & Thompson, 2002).
Usage
i2h(se, tau2h)
Arguments
se
the within studies standard errors vector
tau2h
the estimate of \tau^2
Value
-
i2h: the estimate for I^2.
References
Higgins, J. P. T., and Thompson, S. G. (2002).
Quantifying heterogeneity in a meta-analysis.
Stat Med.
21(11): 1539-1558.
https://doi.org/10.1002/sim.1186
Examples
data(sbp, package = "pimeta")
tau2h <- pimeta::tau2h(sbp$y, sbp$sigmak)
pimeta::i2h(sbp$sigmak, tau2h$tau2h)
nshi-stat/pimeta documentation built on June 8, 2025, 10:23 p.m.
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| i2h | R Documentation |
I^2 heterogeneity measure
Description
Returns the estimator for (Higgins & Thompson, 2002).
Usage
i2h(se, tau2h)
Arguments
se |
the within studies standard errors vector |
tau2h |
the estimate of |
Value
-
i2h: the estimate forI^2.
References
Higgins, J. P. T., and Thompson, S. G. (2002). Quantifying heterogeneity in a meta-analysis. Stat Med. 21(11): 1539-1558. https://doi.org/10.1002/sim.1186
Examples
data(sbp, package = "pimeta")
tau2h <- pimeta::tau2h(sbp$y, sbp$sigmak)
pimeta::i2h(sbp$sigmak, tau2h$tau2h)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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