plot.prevalence.msm: Plot of observed and expected prevalences
Description
Provides a rough indication of goodness of fit of a multi-state model,
by estimating the observed numbers of individuals occupying a state
at a series of times, and plotting these against forecasts from the
fitted model, for each state. Observed prevalences are indicated as
solid lines, expected prevalences as dashed lines.Usage
plot.prevalence.msm(x, mintime, maxtime, interp, ...)
Arguments
x
A fitted multi-state model produced by msm. mintime
Minimum time at which to compute the observed and
expected prevalences of states.
maxtime
Maximum time at which to compute the observed and
expected prevalences of states.
...
Further arguments to be passed to the generic plot
function. Details
See prevalence.msm for details of the assumptions
underlying this method.References
Gentleman, R.C., Lawless, J.F., Lindsey, J.C. and Yan, P. Multi-state
Markov models for analysing incomplete disease history data with
illustrations for HIV disease. Statistics in Medicine (1994) 13(3):
805--821.