coef: Extract coefficients from an averaging model

In rAverage: Parameter Estimation for the Averaging Model of Information Integration Theory

Description

Function to extract fit model coefficients from an object returned by rav.

Usage

coef(object, ...)

Arguments

object	An object of class rav containing an estimated averaging model.
...	Optionally more fitted model objects.

Details

Returns the parameters of an averaging model fitted by the rav function, in the order: s0, w0, s(k,j), and w(k,j).

As default, the function extract the cofficients of the (first) best model. The optional argument whichModel can be specified to extract the values of another model. Options are:

1. "null": null model

2. "ESM": equal scale values model

3. "SAM": simple averaging model

4. "EAM": equal-weights averaging model

5. "DAM": differential-weight averaging model

6. "IC": information criteria model

Value

A numeric vector.

See Also

rav, rAverage-package

Examples

## Not run: 
data(fmdata1)
fm1 <- rav(fmdata1, lev=c(3,3))
coef(fm1)
coef(fm1, whichModel="EAM")

## End(Not run)

rAverage documentation built on May 2, 2019, 6:40 a.m.