Description Usage Arguments Value Author(s) Examples
View source: R/summary.joint.R
Generic function used to produce summary information from a
fitted random effects joint model as represented by object
of class
joint
.
1 2 
object 
an object of class 
variance 
should the variance components be output as variances or
standard deviations? Defaults to 
... 
further arguments for the summary. 
An object inheriting from class summary.joint
with all
components included in object
(see joint
for a full
description of the components) plus the following components:

the total number of (typically longitudinal) observations (i.e. rows in an unbalanced data set). 

the number of groups in the analyzed dataset, often individual subjects. 
Pete Philipson
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18  data(heart.valve)
heart.surv < UniqueVariables(heart.valve,
var.col = c("fuyrs","status"),
id.col = "num")
heart.long < heart.valve[, c("num", "time", "log.lvmi")]
heart.cov < UniqueVariables(heart.valve,
c("age", "hs", "sex"),
id.col = "num")
heart.valve.jd < jointdata(longitudinal = heart.long,
baseline = heart.cov,
survival = heart.surv,
id.col = "num",
time.col = "time")
fit < joint(data = heart.valve.jd,
long.formula = log.lvmi ~ 1 + time + hs,
surv.formula = Surv(fuyrs,status) ~ hs,
model = "intslope")
summary(fit)

Loading required package: survival
Call:
joint(data = heart.valve.jd, long.formula = log.lvmi ~ 1 + time +
hs, surv.formula = Surv(fuyrs, status) ~ hs, model = "intslope")
Random effects joint model
Data: heart.valve.jd
Loglikelihood: 424.7062
Longitudinal submodel fixed effects: log.lvmi ~ 1 + time + hs
(Intercept) 4.993354492
time 0.006966354
hsStentless valve 0.055452730
Survival submodel fixed effects: Surv(fuyrs, status) ~ hs
hsStentless valve 0.7926683
Latent association:
gamma_0 0.8227578
Variance components:
U_0 U_1 Residual
0.113521695 0.001757578 0.037086210
Convergence at iteration: 13
Number of observations: 988
Number of groups: 256
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