plot.mjoint {joineRML}

Plot diagnostics from an mjoint object

Description

Plot diagnostics from an mjoint object.

Usage

## S3 method for class 'mjoint'
plot(x, type = "convergence", ...)

Arguments

x

an object inheriting from class mjoint for a joint model of time-to-event and multivariate longitudinal data.

type

currently the only option is type='convergence' for graphical examination of convergence over MCEM iteration.

...

other parameters passed to plotConvergence.

Author(s)

Graeme L. Hickey ([e-mail])

See Also

plot.default, par, abline.

Examples

# Fit a classical univariate joint model with a single longitudinal outcome
# and a single time-to-event outcome

data(heart.valve)
hvd <- heart.valve[!is.na(heart.valve$log.grad) & !is.na(heart.valve$log.lvmi), ]

set.seed(1)
fit1 <- mjoint(formLongFixed = log.lvmi ~ time + age,
    formLongRandom = ~ time | num,
    formSurv = Surv(fuyrs, status) ~ age,
    data = hvd,
    timeVar = "time",
    control = list(nMCscale = 2, burnin = 5)) # controls for illustration only

plot(fit1, param = "beta")  # LMM fixed effect parameters
plot(fit1, param = "gamma") # event model parameters

## 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",
    control = list(burnin = 50),
    verbose = TRUE)

plot(fit2, type = "convergence", params = "gamma")

## End(Not run)