Extract Covariance Matrix Parameter Estimates from Objects of Various Classes
It extracts the variance-covariance matrix of the parameter estimates from objects of various classes.
## S3 method for class 'tssem1FEM'
vcov(object, ...)
## S3 method for class 'tssem1FEM.cluster'
vcov(object, ...)
## S3 method for class 'tssem1REM'
vcov(object, select = c("all", "fixed", "random"), robust=FALSE, ...)
## S3 method for class 'wls'
vcov(object, ...)
## S3 method for class 'wls.cluster'
vcov(object, ...)
## S3 method for class 'meta'
vcov(object, select = c("all", "fixed", "random"), robust=FALSE, ...)
## S3 method for class 'meta3X'
vcov(object, select = c("all", "fixed", "random","allX"), robust=FALSE, ...)
## S3 method for class 'reml'
vcov(object, ...)
## S3 method for class 'MxRAMModel'
vcov(object, ...)
## S3 method for class 'osmasem'
vcov(object, select=c("fixed", "all", "random"), robust=FALSE, ...)object |
An object returned from objects of various classes |
select |
Select |
robust |
Logicial. Whether to use robust standard error from |
... |
Further arguments; currently none is used |
A variance-covariance matrix of the parameter estimates.
vcov returns NA when the diag.constraints=TRUE
argument is used in wls objects.
Mike W.-L. Cheung <mikewlcheung@nus.edu.sg>
## Random-effects meta-analysis model1 <- meta(y=yi, v=vi, data=Hox02) vcov(model1) ## Fixed-effects only vcov(model1, select="fixed") ## Random-effects only vcov(model1, select="random")
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