Various plots for Markov models probabilistic analysis.
# S3 method for psa
plot(
x,
type = c("ce", "ac", "cov", "evpi"),
max_wtp = 1e+05,
n = 100,
log_scale = TRUE,
diff = FALSE,
threshold,
bw = FALSE,
...
)
A ggplot2
object.
Result from run_model()
.
Type of plot, see details.
Maximal willingness to pay.
Number of CECA points to estimate (values above 100 may take significant time).
Show willingness to pay on a log scale?
Logical, perform covariance analysis on strategy differences?
When diff = TRUE
, threshold value
for net monetary benefit computation.
Black & white plot for publications?
Additional arguments, depends on type
.
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.