Run Sensitivity Analysis

Usage

run_dsa(model, dsa)

Arguments

model: An evaluated Markov model.
dsa: An object returned by define_dsa().

Value

A data.frame with one row per model and parameter value.

Examples

param <- define_parameters(
  p1 = .5,
  p2 = .2,
  r = .05
)
mod1 <- define_strategy(
  transition = define_transition(
    C, p1,
    p2, C
  ),
  define_state(
    cost = discount(543, r),
    ly = 1
  ),
  define_state(
    cost = discount(432, r),
    ly = .5
  )
)
#> No named state -> generating names.
#> No named state -> generating names.

mod2 <- define_strategy(
  transition = define_transition(
    C, p1,
    p2, C
  ),
  define_state(
    cost = 789,
    ly = 1
  ),
  define_state(
    cost = 456,
    ly = .8
  )
)
#> No named state -> generating names.
#> No named state -> generating names.

res2 <- run_model(
  mod1, mod2,
  parameters = param,
  init = c(100, 0),
  cycles = 10,
  cost = cost,
  effect = ly
)
#> No named model -> generating names.

ds <- define_dsa(
  p1, .1, .9,
  p2, .1, .3,
  r, .05, .1
)
print(ds)
#>    Low  High
#> p1 0.1  0.9 
#> p2 0.1  0.3 
#> r  0.05 0.1 



#'\dontrun{
#'x <- run_dsa(res2, ds)
#'plot(x, value = "cost")
#'}
#'
#'
# can be specified as a function of other parameters


ds2 <- define_dsa(
  p2, p1 - .1, p1 + .1
)

#'\dontrun{
#'run_dsa(res2, ds2)
#'}