ranef.mjoint: Extract random effects estimates from an 'mjoint' object

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

Extract random effects estimates from an mjoint object

Description

Extract random effects estimates from an mjoint object.

Usage

## S3 method for class 'mjoint'
ranef(object, postVar = FALSE, ...)

Arguments

object	an object inheriting from class mjoint for a joint model of time-to-event and multivariate longitudinal data.
postVar	logical: if TRUE the variance of the posterior distribution is also returned.
...	additional arguments; currently none are used.

Value

A data.frame (also of class ranef.mjoint) with rows denoting the individuals and columns the random effects (e.g., intercepts, slopes, etc.). If postVar=TRUE, the numeric matrix has an extra attribute, postVar.

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.

Wulfsohn MS, Tsiatis AA. A joint model for survival and longitudinal data measured with error. Biometrics. 1997; 53(1): 330-339.

See Also

ranef for the generic method description, and fixef.mjoint. To plot ranef.mjoint objects, see plot.ranef.mjoint.

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)

ranef(fit2)

## End(Not run)

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