plotConvergence

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

object

a string indicating what parameters are to be shown. Options
are <code>params = &#39;gamma&#39;</code> for the time-to-event sub-model covariate
coefficients, including the latent association parameters; <code>params =
&#39;beta&#39;</code> for the longitudinal sub-model fixed effects coefficients;
<code>params = &#39;sigma2&#39;</code> for the residual error variances from the
longitudinal sub-model; <code>params = &#39;D&#39;</code> for the lower triangular matrix
of the variance-covariance matrix of random effects; <code>params =
&#39;loglik&#39;</code> for the log-likelihood.

params

logical; if <code>TRUE</code> then the &#39;burn-in&#39; phase iterations of
the MCEM algorithm are discarded. Default is <code>discard = FALSE</code>.

discard

Plot convergence time series for parameter vectors from an
  <code>mjoint</code> object.

methods

dplot

Fits the joint model proposed by Henderson and colleagues (2000)
<doi:10.1093/biostatistics/1.4.465>, but extended to the case of multiple
continuous longitudinal measures. The time-to-event data is modelled using a
Cox proportional hazards regression model with time-varying covariates. The
multiple longitudinal outcomes are modelled using a multivariate version of the
Laird and Ware linear mixed model. The association is captured by a multivariate
latent Gaussian process. The model is estimated using a Monte Carlo Expectation
Maximization algorithm. This project is funded by the Medical Research Council
(Grant number MR/M013227/1).

plotConvergence: Plot convergence time series for parameter vectors from an

Description

Usage

Arguments

References

See Also