metaSEM (version 0.9.6)

vcov: Extract Covariance Matrix Parameter Estimates from Various Objects

Description

It extracts the variance-covariance matrix of the parameter estimates from either tssem1FEM, tssem1FEM.cluster, tssem1REM, wls, wls.cluster, meta, meta3X, reml or MxRAMModel objects.

Usage

## S3 method for class 'tssem1FEM':
vcov(object, \dots)
## S3 method for class 'tssem1FEM.cluster':
vcov(object, \dots)
## S3 method for class 'tssem1REM':
vcov(object, select = c("all", "fixed", "random"), ...)
## S3 method for class 'wls':
vcov(object, R=50, \dots)
## S3 method for class 'wls.cluster':
vcov(object, R=50, \dots)
## S3 method for class 'meta':
vcov(object, select = c("all", "fixed", "random"), ...)
## S3 method for class 'meta3X':
vcov(object, select = c("all", "fixed", "random", "allX"), ...)
## S3 method for class 'reml':
vcov(object, \dots)
## S3 method for class 'MxRAMModel':
vcov(object, \dots)

Arguments

object

An object returned from either class tssem1FEM, class tssem1FEM.cluster, class tssem1REM, class wls, class wls.cluster, class meta, class reml or class MxR

select

Select all for both fixed- and random-effects parameters, fixed for the fixed-effects parameters or random for the random-effects parameters. For meta3X objects, allX is used to extract

R

Positive integer. The number of parameter bootstrap replicates when diag.constraints=TRUE.

...

Further arguments; currently none is used

Value

• A variance-covariance matrix of the parameter estimates.

See Also

tssem1, wls, meta, reml

Examples

## 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")