metaSEM (version 1.0.0)

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

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 MxRAMModel

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 all parameters including the predictors and auxiliary variables.

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

# NOT RUN {
## 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")
# }