"anova.rma"
.
"print"(x, digits, ...)
"anova.rma"
.NA
for fixed-effects models, if the amount of heterogeneity in the reduced model is equal to zero, or for "rma.mv"
objects. This can be regarded as a pseudo R² 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.
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. http://www.jstatsoft.org/v36/i03/.
anova.rma