Learn R Programming

joineR (version 1.0-2)

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 class 'joint':
summary(object, variance, \dots)

Arguments

object
an object inheriting from class joint representing a fitted random effects joint model.
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:
  • nobsthe total number of (typically longitudinal) observations (i.e. rows in an unbalanced data set).
  • ngrpsthe number of groups in the analysed dataset, often individual subjects.

Examples

Run this code
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)

Run the code above in your browser using DataLab