getVarCov.lcc: Extract Variance Components from a Fitted Model

In lcc: Longitudinal Concordance Correlation

Extract Variance Components from a Fitted Model

Description

Extract Variance Components from a Fitted Model

Usage

## S3 method for class 'lcc'
getVarCov(obj, type, ...)

Arguments

obj	an object inheriting from class lcc, representing a fitted longitudinal concordance correlation function.
type	specifies the type of variance covariance matrix. If type = "random.effects", the default, extract the random-effects variance-covariance; if type = "conditional" extract the conditional variance-covariance of the responses; and if type = "marginal" extracts the the marginal variance-covariance of the responses.
...	optional arguments passed to the getVarCov function.

Details

See methods for nlme objects to get more details.

Value

Returns the variance-covariance matrix of a fitted lcc model object.

Author(s)

Thiago de Paula Oliveira, [e-mail]

See Also

lcc, summary.lcc, coef.lcc, vcov.lcc

Examples

## Not run: 
fm1<-lcc(data = hue, subject = "Fruit", resp = "H_mean",
         method = "Method", time = "Time", qf = 2, qr = 2)
getVarCov(fm1)

## End(Not run)

lcc documentation built on Aug. 25, 2022, 5:08 p.m.