coef: Extract Parameter Estimates from various classes.

In metaSEM: Meta-Analysis using Structural Equation Modeling

Extract Parameter Estimates from various classes.

Description

It extracts the parameter estimates from objects of various classes.

Usage

## S3 method for class 'tssem1FEM'
coef(object, ...)
## S3 method for class 'tssem1FEM.cluster'
coef(object, ...)
## S3 method for class 'tssem1REM'
coef(object, select = c("all", "fixed", "random"), ...)
## S3 method for class 'wls'
coef(object, ...)
## S3 method for class 'wls.cluster'
coef(object, ...)
## S3 method for class 'meta'
coef(object, select = c("all", "fixed", "random"), ...)
## S3 method for class 'meta3LFIML'
coef(object, select = c("all", "fixed", "random", "allX"), ...)
## S3 method for class 'reml'
coef(object, ...)
## S3 method for class 'MxRAMModel'
coef(object, ...)
## S3 method for class 'osmasem'
coef(object, select=c("fixed", "all", "random"), ...)

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 meta3LFIML objects, allX is used to extract all parameters including the predictors and auxiliary variables.
...	Further arguments; currently none is used

Value

Parameter estimates for both fixed-effects (if any) and random-effects (if any)

Note

coef.MxRAMModel is simply a wraper of omxGetParameters. Extra arguments will be passed to it

Author(s)

Mike W.-L. Cheung <[e-mail]>

See Also

tssem1, wls, meta, reml, omxGetParameters, osmasem

Examples

## Random-effects meta-analysis
model1 <- meta(y=yi, v=vi, data=Hox02)
coef(model1)

## Fixed-effects only
coef(model1, select="fixed")

metaSEM documentation built on Aug. 10, 2023, 1:09 a.m.