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.
# S3 method for msm
plot(x, from, to, range, covariates, legend.pos, xlab="Time",
ylab="Fitted survival probability", lwd=1, ...)Output from msm, representing a fitted
multi-state model object.
States from which to consider survival. Defaults to the complete set of transient states.
Absorbing state to consider. Defaults to the highest-labelled absorbing state.
Vector of two elements, giving the range of times to plot for.
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)
Vector of the \(x\) and \(y\) position, respectively, of the legend.
x axis label.
y axis label.
Line width. See par.