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I2 (I-squared) for mulilevel meta-analytic models, based on Nakagawa & Santos (2012). Under multilevel models, we can have multiple I2 (see also Senior et al. 2016). Alternatively, the method proposed by Wolfgang Viechtbauer can also be used.

Usage

i2_ml(model, method = c("ratio", "matrix"), data, boot = NULL)

Arguments

model

Model object of class rma.mv or rma. Currently only model objects using the mods argument work (e.g., mod = ~1).

method

Method used to calculate I2. Two options exist: a ratio-based calculation proposed by Nakagawa & Santos ("ratio"), or Wolfgang Viechtbauer's matrix method ("matrix").

data

Data frame used to fit the model.

boot

Number of simulations to run to produce 95 percent confidence intervals for I2. Default is NULL, where only the point estimate is provided.

Value

A data frame containing all the model results including mean effect size estimate, confidence, and prediction intervals

Author

Shinichi Nakagawa - s.nakagawa@unsw.edu.au

Daniel Noble - daniel.noble@anu.edu.au

Elliot Gould - elliot.gould@unimelb.edu.au