crm: A package-local (as-yet, unexported) test harness adapted...
In precautionary: Safety Diagnostics for Dose-Escalation Trial Designs

for various performance tuning experiments. The impl arg allows selection of various alternative implementations:

'rusti' substitutes integrands crmh, crmht, crmht2 written in Rust
'dfcrm' is the original as implemented in package dfcrm.

crm(
  prior,
  target,
  tox,
  level,
  n = length(level),
  dosename = NULL,
  include = 1:n,
  pid = 1:n,
  conf.level = 0.9,
  method = "bayes",
  model = "empiric",
  intcpt = 3,
  scale = sqrt(1.34),
  model.detail = TRUE,
  patient.detail = TRUE,
  var.est = TRUE,
  impl = c("rusti", "ruste", "dfcrm")
)

`prior`	The CRM skeleton: dose-wise prior probabilities of toxicity
`target`	Target toxicity rate
`tox`	A patient-wise vector of toxicity counts
`level`	A patient-wise vector of dose level assignments
`n`	The number of patients enrolled
`dosename`	Optional designators for the doses
`include`	Index of patients to include
`pid`	Vector of patient ID labels
`conf.level`	Used to assign upper and lower bounds on predicted probability of toxicity, which in turn may be referenced in escalation, deescalation and stopping decisions.
`method`	Estimation method:
`model`	Presently, only the ‘empiric’ (or ‘power’) model has a Rust likelihood implementation.
`intcpt`	Intercept for ‘logistic’ model
`scale`	Sigma parameter of prior on beta parameter
`model.detail`	If FALSE, the model content of an `mtd` object will not be displayed. Default is TRUE.
`patient.detail`	If FALSE, patient summary of an `mtd` object will not be displayed. Default is TRUE.
`var.est`	If TRUE, variance of the estimate of the model parameter and probability/confidence interval for the dose-toxicity curve will be computed
`impl`	Switch between `'rusti'` and `'dfcrm'` implementations. Currently the `'rusti'` option is implemented only for the Bayes method of the empirical (‘power’) model. An experimental `'ruste'` implementation is in the works.