logLik.mjoint {joineRML} | R Documentation |
Extract log-likelihood from an mjoint
object
Description
Extract log-likelihood from an mjoint
object.
Usage
## S3 method for class 'mjoint'
logLik(object, ...)
Arguments
object |
an object inheriting from class |
... |
additional arguments; currently none are used. |
Value
Returns an object of class logLik
. This is a number with two
attributes: df
(degrees of freedom), giving the number of parameters
in the model, and nobs
, the number of observations used in
estimation.
Author(s)
Graeme L. Hickey (graemeleehickey@gmail.com)
References
Henderson R, Diggle PJ, Dobson A. Joint modelling of longitudinal measurements and event time data. Biostatistics. 2000; 1(4): 465-480.
See Also
logLik
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)
logLik(fit2)
## End(Not run)
[Package joineRML version 0.4.6 Index]