residuals.lcc: Extract Model Residuals

Description Usage Arguments Details Author(s) See Also Examples

View source: R/methods.R

Description

Extract the residulas from the model used to estimate the longitudinal concordance correlation function.

Usage

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## S3 method for class 'lcc'
residuals(object, type, ...)

Arguments

object

an object inheriting from class lcc, representing a fitted longitudinal concordance correlation function.

type

an optional character string specifying the type of residulas to be used. If type = "response", the default, the residuals at level i are obtained by subtracting the fitted values at that level from the response vector. If type = "pearson", the "response" residuals is divided by the estimated within-group standard error. If type = "normalized", the normalized residuals are used. Partial matching of arguments is used, so only the first character needs to be provided.

...

optional arguments passed to the residuals.lme 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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