coef: Extract Parameter Estimates from various classes.

In mikewlcheung/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 'osmasem'
coef(object, select=c("fixed", "all", "random"), ...)
## S3 method for class 'mxRAMmodel'
coef(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 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")

mikewlcheung/metasem documentation built on April 9, 2024, 2:17 a.m.