Extract Various Types of Variance-Covariance Matrices from 'rma' Objects
The function extracts various types of variance-covariance matrices from objects of class "rma". By default, the variance-covariance matrix of the parameter estimates (fixed effects) is returned.
## S3 method for class 'rma' vcov(object, type="fixed", ...)
object |
an object of class |
type |
character string indicating the type of variance-covariance matrix to return; |
... |
other arguments. |
Note that type="obs" currently only works for object of class "rma.uni" and "rma.mv".
For objects of class "rma.uni", the marginal variance-covariance matrix is just a diagonal matrix with τ² + vᵢ along the diagonal, where τ² is the estimated amount of (residual) heterogeneity (set to 0 in fixed-effects models) and vᵢ is the sampling variance of the ith study.
For objects of class "rma.mv", the structure can be more complex and depends on the types of random effects included in the model.
A matrix corresponding to the requested variance-covariance matrix.
Wolfgang Viechtbauer wvb@metafor-project.org http://www.metafor-project.org/
Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1–48. https://www.jstatsoft.org/v036/i03.
### meta-analysis of the log risk ratios using a mixed-effects model
### with two moderators (absolute latitude and publication year)
res <- rma(measure="RR", ai=tpos, bi=tneg, ci=cpos, di=cneg,
mods = ~ ablat + year, data=dat.bcg)
vcov(res)
### marginal var-cov matrix of the observed log risk ratios
vcov(res, type="obs")
### var-cov matrix of the fitted values
vcov(res, type="fitted")
### var-cov matrix of the residuals
vcov(res, type="resid")Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.