plot.msm

Output from <code><a href="/link/msm?package=msm&version=0.5.2" rd-options="" data-mini-rdoc="msm::msm">msm</a></code>, representing a fitted
    multi-state model object

States from which to consider survival. Defaults to
    the complete set of transient states.

from

Absorbing state to consider. Defaults to the
    highest-labelled absorbing state.

Vector of two elements, giving the range of times to plot
  for.

range

Covariate values for which to evaluate the expected
    probabilities.  This can either be:the string <code>"mean"</code>, denoting the means of the covariates in
    the data (this is the default),the number <code>0</code>, indicating that all the cova

covariates

Vector of the $x$ and $y$ position,
    respectively, of the legend.

legend.pos

Other arguments to the generic <code>plot</code> function

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.

models

Functions for fitting general continuous-time Markov and hidden
 Markov multi-state models to longitudinal data.  Both Markov
 transition rates and the hidden Markov output process can be modelled
 in terms of covariates.  A variety of observation schemes are
 supported, including processes observed at arbitrary times, 
 completely-observed processes, and censored states. 

plot.msm: Plots of multi-state models

Description

Usage

Arguments

concept

See Also