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='gamma'</code> for the time-to-event sub-model covariate
coefficients, including the latent association parameters;
<code>params='beta'</code> for the longitudinal sub-model fixed effects
coefficients; <code>params='sigma2'</code> for the residual error variances from
the longitudinal sub-model; <code>params='D'</code> for the lower triangular
matrix of the variance-covariance matrix of random effects.

params


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 `mjoint` object

Description

Usage

Arguments

References

See Also