getVarCov.mjoint: Extract variance-covariance matrix of random effects from an...

In joineRML: Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes

Extract variance-covariance matrix of random effects from an mjoint object

Description

Extract variance-covariance matrix of random effects from an mjoint object.

Usage

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

Arguments

obj	an object inheriting from class mjoint for a joint model of time-to-event and multivariate longitudinal data.
...	additional arguments; currently none are used.

Value

A variance-covariance matrix.

Author(s)

Graeme L. Hickey ([e-mail])

References

Pinheiro JC, Bates DM. Mixed-Effects Models in S and S-PLUS. New York: Springer Verlag; 2000.

See Also

getVarCov for the generic method description.

Examples

## Not run: 
# Fit a joint model with bivariate longitudinal outcomes

data(heart.valve)
hvd <- heart.valve[!is.na(heart.valve$log.grad) & !is.na(heart.valve$log.lvmi), ]

fit2 <- mjoint(
    formLongFixed = list("grad" = log.grad ~ time + sex + hs,
                         "lvmi" = log.lvmi ~ time + sex),
    formLongRandom = list("grad" = ~ 1 | num,
                          "lvmi" = ~ time | num),
    formSurv = Surv(fuyrs, status) ~ age,
    data = list(hvd, hvd),
    inits = list("gamma" = c(0.11, 1.51, 0.80)),
    timeVar = "time",
    verbose = TRUE)

getVarCov(fit2)

## End(Not run)

joineRML documentation built on Jan. 22, 2023, 1:18 a.m.