View source: R/strategy_eval.R
eval_strategy | R Documentation |
Given an unevaluated strategy, an initial number of individual and a number of cycle to compute, returns the evaluated version of the objects and the count of individual per state per model cycle.
eval_strategy(
strategy,
parameters,
cycles,
init,
method,
expand_limit,
inflow,
strategy_name
)
strategy |
An |
parameters |
Optional. An object generated by
|
cycles |
positive integer. Number of Markov Cycles to compute. |
init |
numeric vector, same length as number of model states. Number of individuals in each model state at the beginning. |
method |
Counting method. |
expand_limit |
A named vector of state expansion limits. |
inflow |
Numeric vector, similar to |
strategy_name |
Name of the strategy. |
init
need not be integer. E.g. c(A = 1, B = 0.5, C = 0.1, ...)
.
An eval_strategy
object (actually a list of
evaluated parameters, matrix, states and cycles
counts).
param <- define_parameters(
a = model_time + 1 * 2
)
mat <- define_transition(
1-1/a, 1/a,
.1, .9
)
mod <- define_strategy(
transition = mat,
A = define_state(cost = 10),
B = define_state(cost = 2)
)
heemod:::eval_strategy(
strategy = mod,
parameters = param,
init = define_init(A = 10, B = 5),
cycles = 5,
method = "end",
inflow = define_inflow(A = 0, B = 0),
strategy_name = "A",
expand_limit = c(A = 5, B = 5)
)
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