metaSEM (version 0.9.10)

VarCorr: Extract Variance Covariance Matrix of the Random Effects

Description

It extracts the variance-covariance matrix of the random effects (variance component) from the meta objects.

Usage

VarCorr(object, ...)

Arguments

object

An object returned from class meta

...

Further arguments; currently none is used

Value

See Also

coef

Examples

## Multivariate meta-analysis on the log of the odds
## The conditional sampling covariance is 0
bcg <- meta(y=cbind(ln_Odd_V, ln_Odd_NV), data=BCG,
            v=cbind(v_ln_Odd_V, cov_V_NV, v_ln_Odd_NV))
VarCorr(bcg)