Define a Markov Model — define

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

Usage

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

define_strategy_(transition, states, starting_values)

Arguments

...: Objects generated by define_state(). Each object should be named with the state names of the transition matrix.
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