Description Usage Arguments Value Author(s)
Originally, the sampling in stats::rnorm() (see inline comments in code)
consumed 53% of run-time in a 6-cohort VIOLA DTP. After this change, it
doesn't even show up! More importantly, the consumption is now dominated
by (at 75%) by the objective function 'f' in integrate().
| 1 2 3 4 5 6 7 | stop_for_excess_toxicity_empiric(
  x,
  tox_lim,
  prob_cert,
  dose = 1,
  suppress_dose = TRUE
)
 | 
| x | A object of class  | 
| tox_lim | Scalar upper threshold on estimated toxicity rate | 
| prob_cert | Confidence level for threshold exceedance | 
| dose | Integer scalar, the dose being considered | 
| suppress_dose | Logical; if TRUE the MTD is set to  | 
The mtd object x, with stop decision annotated
Adapted by David C. Norris from original dtpcrm::stop_for_excess_toxicity_empiric
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