getVarCov.lcc: Extract Variance Components from a Fitted Model

Description Usage Arguments Details Author(s) See Also Examples

View source: R/methods.R

Description

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

Usage

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## 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.

Author(s)

Thiago de Paula Oliveira, thiago.paula.oliveira@usp.br

See Also

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

Examples

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## 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 Feb. 26, 2021, 5:07 p.m.

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