shrinkDSM (version 1.0.0)

plot.shrinkDSM: Graphical summary of posterior distribution of fitted dynamic survival model

Description

plot.shrinkDSM generates plots visualizing the posterior distribution estimated as a result from a call to shrinkDSM.

Usage

# S3 method for shrinkDSM
plot(
  x,
  pars = c("beta"),
  nplot = 3,
  h_borders = c(0.05, 0.05),
  w_borders = c(0.02, 0.02),
  ...
)

Value

Called for its side effects and returns invisibly.

Arguments

x

a shrinkDSM object.

pars

a character vector containing the names of the parameters to be visualized. The names have to coincide with the names of the list elements of the shrinkDSM object. Throws an error if any element of pars does not fulfill this criterium. The default is c("beta").

nplot

positive integer that indicates the number of tvp plots to display on a single page before a new page is generated. The default value is 3.

h_borders

single real, positive number smaller than 0.5 or a vector containing two such numbers. Determines the relative amount of space (the total amount summing up to 1) left blank on the left and right of the plot, in that order. The default is c(0.05, 0.05).

w_borders

single real, positive number smaller than 0.5 or a vector containing two such numbers. Determines the relative amount of space (the total amount summing up to 1) left blank at the top and bottom of the plot, in that order. The default is c(0.02, 0.02).

...

further arguments to be passed to the respective plotting functions.

Author

Peter Knaus

See Also

Other plotting functions: plot.mcmc.dsm.tvp(), plot.shrinkDSM_pred()

Examples

# \donttest{
set.seed(123)
data("gastric")

# Create intervals for piecewise exponential model
intervals <- divisionpoints(gastric$time, gastric$status, 2)

# Estimate model
mod <- shrinkDSM(time ~ radiation, gastric,
                 delta = gastric$status, S = intervals)
plot(mod)
# }

# Will produce an error because 'hello' is not a parameter in the model
if (FALSE) {
plot(mod, pars = c("beta", "hello"))
}