joineR (version 1.2.8)

summary.joint: Summarise a random effects joint model fit

Description

Generic function used to produce summary information from a fitted random effects joint model as represented by object of class joint.

Usage

# S3 method for joint
summary(object, variance = TRUE, ...)

Value

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:

nobs

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

ngrps

the number of groups in the analyzed dataset, often individual subjects.

Arguments

object

an object of class joint.

variance

should the variance components be output as variances or standard deviations? Defaults to variance = TRUE.

...

further arguments for the summary.

Author

Pete Philipson

Examples

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)