eval_assign_values_states {packDAMipd}

Attribute values in health states

Description

Attribute values in health states

Usage

eval_assign_values_states(health_states, assigned_param)

Arguments

health_states

list of health_state objects

assigned_param

name value pairs of parameter values in the probability matrix expected created using function assign_parameters()

Details

Assigning the param is done for the cost and utility if the param is not numeric, check if it can be evaluated at the run time if yes, assign the evaluated numeric value if not get the parameters between operators, and assign the values to each individual parameters and then evaluate. only works for two levels. For the example shown the cost is sum of cost_A and cost_B which will only get added in the call eval_assign_values_states While initialising the state "well" it will be only saved as expression(cost_A + cost_B) assigned_param (a list) can be expected to be created using assign_parameters() the exception is if parameter is directly assigned with no nested calculation and no missing parameters. For example assigned_param = c(cost_a = 10, cost_b=10) will be ok but not assigned_param = c(a=10, cost_A = "a+100", cost_B =10) as it requires a nested calculation then use define_parameters() with assign_parameters() as in param_list <- define_parameters(a = 10, cost_A = "a + 100", cost_B = 10) assign_list <- assign_parameters(param_list)

Value

health states with assigned values

Examples

well <- health_state("well", cost = "cost_A + cost_B", utility = 1)
disabled <- health_state("disabled", cost = 100, utility = 1)
dead <- health_state("dead", cost = 0, utility = 0)
tmat <- rbind(c(1, 2, 3), c(NA, 4, 5), c(NA, NA, 6))
colnames(tmat) <- rownames(tmat) <- c("well", "disabled", "dead")
tm <- populate_transition_matrix(3, tmat, c(0.6, 0.2, 0.2, 0.6, 0.4, 1))
health_states <- combine_state(well, disabled, dead)
eval_assign_values_states(health_states, c(cost_A = 100, cost_B = 11))