plotConvergence {joineRML} | R Documentation |
Plot convergence time series for parameter vectors from an mjoint
object
Description
Plot convergence time series for parameter vectors from an
mjoint
object.
Usage
plotConvergence(object, params = "gamma", discard = FALSE)
Arguments
object |
an object inheriting from class mjoint for a joint model
of time-to-event and multivariate longitudinal data.
|
params |
a string indicating what parameters are to be shown. Options
are params='gamma' for the time-to-event sub-model covariate
coefficients, including the latent association parameters;
params='beta' for the longitudinal sub-model fixed effects
coefficients; params='sigma2' for the residual error variances from
the longitudinal sub-model; params='D' for the lower triangular
matrix of the variance-covariance matrix of random effects;
params='loglik' for the log-likelihood.
|
discard |
logical; if TRUE then the 'burn-in' phase iterations of
the MCEM algorithm are discarded. Default is discard=FALSE .
|
Author(s)
Graeme L. Hickey (graemeleehickey@gmail.com)
References
Wei GC, Tanner MA. A Monte Carlo implementation of the EM algorithm and the
poor man's data augmentation algorithms. J Am Stat Assoc. 1990;
85(411): 699-704.
See Also
plot.mjoint
, plot.default
,
par
, abline
.
[Package
joineRML version 0.4.6
Index]