plot.msm: Plots of multi-state models
In msm: Multi-State Markov and Hidden Markov Models in Continuous Time

Description Usage Arguments Author(s) See Also

This produces a plot of the expected probability of survival against time, from each transient state. Survival is defined as not entering an absorbing state.

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## S3 method for class 'msm'
plot(x, from, to, range, covariates, legend.pos, xlab="Time",
                   ylab="Fitted survival probability", lwd=1, ...)

`x`	Output from `msm`, representing a fitted multi-state model object.
`from`	States from which to consider survival. Defaults to the complete set of transient states.
`to`	Absorbing state to consider. Defaults to the highest-labelled absorbing state.
`range`	Vector of two elements, giving the range of times to plot for.
`covariates`	Covariate values for which to evaluate the expected probabilities. This can either be: the string `"mean"`, denoting the means of the covariates in the data (this is the default), the number `0`, indicating that all the covariates should be set to zero, or a list of values, with optional names. For example `list (60, 1)` where the order of the list follows the order of the covariates originally given in the model formula, or a named list, `list (age = 60, sex = 1)`
`legend.pos`	Vector of the x and y position, respectively, of the legend.
`xlab`	x axis label.
`ylab`	y axis label.
`lwd`	Line width. See `par`.
`...`	Other arguments to be passed to the generic `plot` and `lines` functions.