I2: Compute I2
In pema: Penalized Meta-Analysis
I2 R Documentation
Compute I2
Description
I2 represents the amount of heterogeneity relative to the total
amount of variance in the observed effect sizes (Higgins & Thompson, 2002).
For three-level meta-analyses, it is additionally broken down into I2_w
(amount of within-cluster heterogeneity) and I2_b (amount of between-cluster
heterogeneity).
Usage
I2(x, ...)
Arguments
x
An object for which a method exists.
...
Arguments passed to other functions.
Value
Numeric matrix, with rows corresponding to I2 (total heterogeneity),
and optionally I2_w and I2_b (within- and between-cluster heterogeneity).
Examples
I2(matrix(1:20, ncol = 1))
pema documentation built on March 31, 2023, 11:38 p.m.
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| I2 | R Documentation |
Compute I2
Description
I2 represents the amount of heterogeneity relative to the total amount of variance in the observed effect sizes (Higgins & Thompson, 2002). For three-level meta-analyses, it is additionally broken down into I2_w (amount of within-cluster heterogeneity) and I2_b (amount of between-cluster heterogeneity).
Usage
I2(x, ...)
Arguments
x |
An object for which a method exists. |
... |
Arguments passed to other functions. |
Value
Numeric matrix, with rows corresponding to I2 (total heterogeneity), and optionally I2_w and I2_b (within- and between-cluster heterogeneity).
Examples
I2(matrix(1:20, ncol = 1))
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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