plot.msm: Plots of multi-state models

In chjackson/msm: Multi-State Markov and Hidden Markov Models in Continuous Time

Plots of multi-state models

Description

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.

Usage

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

Arguments

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.

Details

Note that while this function is only relevant to models with absorbing states, models in msm can have any transition structure and do not necessarily have to have an absorbing state.

Author(s)

C. H. Jackson [e-mail]

See Also

msm

chjackson/msm documentation built on March 3, 2024, 1:05 a.m.