Define a Markov Model — define

Combine information on parameters, transition matrix and states defined through define_parameters(), define_transition() and define_state() respectively.

define_strategy(
  ...,
  transition = define_transition(),
  starting_values = define_starting_values()
)

define_strategy_(transition, states, starting_values)

Arguments

...	Object generated by `define_state()`.
transition	An object generated by `define_transition()`.
starting_values	Optional starting values defined with `define_starting_values()`.
states	List of states, only used by `define_strategy_` to avoid using `...`.

Value

An object of class uneval_model (a list containing the unevaluated parameters, matrix and states).

Details

This function checks whether the objects are compatible in the same model (same state names...).

State values and transition probabilities referencing state_time are automatically expanded to implicit tunnel states.

Examples

mat <- define_transition(
  state_names = c("s1", "s2"),
  1 / c, 1 - 1/ c,
  0, 1
)

s1 <- define_state(
  cost = 234,
  utility = 1
  )
s2 <- define_state(
  cost = 421,
  utility = .5
  )

define_strategy(
  transition = mat,
  s1 = s1,
  s2 = s2
)
#> A Markov model strategy:
#> 
#>     2 states,
#>     2 state values