plot.prevalence.msm {msm}R Documentation

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.
interp Interpolation method for observed states, see prevalence.msm
... Further arguments to be passed to the generic plot function.

Details

See prevalence.msm for details of the assumptions underlying this method.

Value

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.

See Also

prevalence.msm


[Package msm version 0.7.4 Index]