sim_exp_crossover: Simulation with crossover effect
In borealexander/tslrt: Function for treatment switching logrank test

sim_exp_crossover Simulating a trial with crossover effect. Control and experimental arm are both exponentially distributed, but control can have progression and might change to experimental arm

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sim_exp_crossover(n_c = 100, n_e = 100, median_c = 10, median_e = 15,
  median_progression = 5, p_change = 0.5, end_event = 150,
  rec_period = 12, rec_power = 1, model = NULL)

`n_c`	Number of patients in control arm
`n_e`	Number of patients in experimental arm
`median_c`	Median in control arm
`median_e`	Median in experimental arm
`median_progression`	Median for getting a progression in control arm
`p_change`	Probability that a patient in control that has a progression changes to experimental arm
`end_event`	Number of events to stop the study
`rec_period`	Recruitment period
`rec_power`	Recruitment follows a power model, this variable how the power looks
`model`	List containing all the variabels above