Print method for objects of class `"anova.rma"`

.

# S3 method for anova.rma
print(x, digits=x$digits, ...)

## Arguments

x |
an object of class `"anova.rma"` . |

digits |
integer to specify the number of decimal places to which the printed results should be rounded (the default is to take the value from the object). |

... |
other arguments. |

## Details

The output includes:

the number of parameters in the full and the reduced model.

the AIC, BIC, AICc, and log-likelihood of the full and the reduced model.

the value of the likelihood ratio test statistic.

the corresponding p-value.

the test statistic of the test for (residual) heterogeneity for the full and the reduced model.

the estimate of \(\tau^2\) from the full and the reduced model. Suppressed for fixed-effects models.

R2amount (in percent) of heterogeneity in the reduced model that is accounted for in the full model (`NA`

for fixed-effects models or for `"rma.mv"`

objects). This can be regarded as a pseudo \(R^2\) statistic (Raudenbush, 2009). Note that the value may not be very accurate unless \(k\) is large (Lopez-Lopez et al., 2014).

The last two items are not provided when comparing `"rma.mv"`

models.

## Value

The function does not return an object.

## Author

Wolfgang Viechtbauer wvb@metafor-project.org https://www.metafor-project.org

## References

López-López, J. A., Marín-Martínez, F., Sánchez-Meca, J., Van den Noortgate, W., & Viechtbauer, W. (2014). Estimation of the predictive power of the model in mixed-effects meta-regression: A simulation study. *British Journal of Mathematical and Statistical Psychology*, **67**(1), 30--48. https://doi.org/10.1111/bmsp.12002

Raudenbush, S. W. (2009). Analyzing effect sizes: Random effects models. In H. Cooper, L. V. Hedges, & J. C. Valentine (Eds.), *The handbook of research synthesis and meta-analysis* (2nd ed., pp. 295--315). New York: Russell Sage Foundation.

Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. *Journal of Statistical Software*, **36**(3), 1--48. https://doi.org/10.18637/jss.v036.i03

## See also