summary.joint: Summarise a random effects joint model fit

Description Usage Arguments Value Author(s) Examples

View source: R/summary.joint.R

Description

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

Usage

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

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.

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.

Author(s)

Pete Philipson ([email protected])

Examples

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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)

graemeleehickey/joineR documentation built on May 31, 2018, 7:03 a.m.