sim_trial: Simulate a combination dose finding trial.
In dominicmagirr/dosecombo: Combination Dose Escalation

Simulate a combination dose finding trial.

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sim_trial(doses, truth, max_n_cohort, cohort_size, starting_dose,
  max_cohort_size, max_n, max_p_target, add_random = FALSE,
  frac_target = 0.75, over_limit_end = NA, n_iter = 2500)

`doses`	A list containing doses on the original and log scale.
`truth`	A vector of 'true' p(DLT)'s, corresponding to the rows of 'log_doses'.
`max_n_cohort`	The maximum number of cohorts.
`cohort_size`	Cohort size.
`starting_dose`	Starting dose.
`max_cohort_size`	Maximum size of cohort. If this is reached, and the max_n or max_p_target is reached then the trial can stop.
`max_n`	Maximum total sample size. If this is reached and the max_cohort_size is reached for recommended dose then the trial can stop.
`max_p_target`	Maximum probability of targeted toxicity. If this is reached and the max_cohort_size is reached for recommended dose then the trial can stop.
`add_random`	Should some randomness be added to choice of next dose? Default is FALSE.
`frac_target`	If randomness is added, how close to the 'best' dose is acceptable. Default is 75 percent of P(target toxicity).
`over_limit_end`	The safety limit to be applied at the end of the trial
`n_iter`	Number of iterations in MCMC.