checks_markov_pick_method {packDAMipd}

Checks the input to run the Markov cycles and picks correct method

Description

Checks the input to run the Markov cycles and picks correct method

Usage

checks_markov_pick_method(
  current_strategy,
  initial_state,
  discount,
  method,
  half_cycle_correction,
  startup_cost,
  startup_util,
  state_cost_only_prevalent,
  state_util_only_prevalent
)

Arguments

current_strategy

strategy object

initial_state

value of states initially

discount

rate of discount for costs and qalys

method

what type of half cycle correction needed

half_cycle_correction

boolean to indicate half cycle correction

startup_cost

cost of states initially

startup_util

utility of states initially if any

state_cost_only_prevalent

boolean parameter to indicate if the costs for state occupancy is only for those in the state excluding those that transitioned new. This is relevant when the transition cost is provided for eg. in a state with dialysis the cost of previous dialysis is different from the newly dialysis cases.Then the state_cost_only_prevalent should be TRUE

state_util_only_prevalent

boolean parameter to indicate if the utilities for state occupancy is only for those in the state excluding those that transitioned new.

Value

changed method name

Examples

tmat <- rbind(c(1, 2), c(3, 4))
colnames(tmat) <- rownames(tmat) <- c("Healthy", "Dead")
tm <- populate_transition_matrix(2, tmat, c(0.5, 0.5, 0, 1))
a <- health_state("Healthy", 1, 1, 0, FALSE)
b <- health_state("Dead", 1, 0, 0, TRUE)
health_states <- combine_state(a, b)
this.strategy <- strategy(tm, health_states, "intervention")
checks_markov_pick_method(this.strategy, c(1, 0), c(0, 0),
"half cycle correction", TRUE,NULL,NULL)