Plot Results of Probabilistic Analysis

Various plots for Markov models probabilistic analysis.

Usage

# S3 method for class 'psa'
plot(
  x,
  type = c("ce", "ac", "cov", "evpi"),
  max_wtp = 1e+05,
  n = 100,
  log_scale = TRUE,
  diff = FALSE,
  threshold,
  bw = FALSE,
  ...
)

Arguments

x

Result from run_model().

type

Type of plot, see details.

max_wtp

Maximal willingness to pay.

n

Number of CECA points to estimate (values above 100 may take significant time).

log_scale

Show willingness to pay on a log scale?

diff

Logical, perform covariance analysis on strategy differences?

threshold

When diff = TRUE, threshold value for net monetary benefit computation.

bw

Black & white plot for publications?

...

Additional arguments, depends on type.

Value

A ggplot2 object.

Details

type = "ac" plots cost-effectiveness acceptability curves, type = "ce" plots results on the cost-efficiency plane, type = "cov" to perform covariance analysis on the results, type = "evpi" for expected value of perfect information.