simulate_path: Generic for simulating a path of a given risk model
In irudnyts/ruin: Simulation of Various Risk Processes

Description Usage Arguments Value Warning Examples

simulate_path() simulates a path of a given risk model until one of the following conditions is met: (1) the process is ruined, (2) max_time_horizon is achieved, (3) the elapsed time of the simulation is greater than max_simulation_time.

1 2	simulate_path(model, max_time_horizon = NULL, max_simulation_time = NULL, seed = NULL)

`model`	an S4 object indicating a risk model (e.g., CramerLundberg).
`max_time_horizon`	a length one numeric vector specifying the maximum time horizon, until with the process will be simulated. Default: `Inf`.
`max_simulation_time`	a length one numeric vector indicating the maximum allowed time of simulation. The value should be specified in seconds. Default: `Inf`.
`seed`	an optional arbitrary length numeric vector specifying the seed. If provided, the `.Random.seed` in `.GlobalEnv` is set to its value.

An S4 corresponding to model class object. For instance, for CramerLundberg, the object of class PathCramerLundberg is returned.

Setting both max_time_horizon and max_simulation_time to Inf might be dangerous. In this case, the only stopping condition is a ruin of the process, which might not happen.

model <- CramerLundberg(initial_capital = 10,
                        premium_rate = 1,
                        claim_poisson_arrival_rate = 1,
                        claim_size_generator = rexp,
                        claim_size_parameters = list(rate = 1))

path <- simulate_path(model = model, max_time_horizon = 10)