Get an object to fit a TITE version of the NBG dose-finding model using trialr

get_trialr_nbg_tite(
  parent_selector_factory = NULL,
  real_doses,
  d_star,
  target,
  alpha_mean,
  alpha_sd,
  beta_mean,
  beta_sd,
  ...
)

Arguments

parent_selector_factory: optional object of type selector_factory that is in charge of dose selection before this class gets involved. Leave as NULL to just use this model from the start.
real_doses: Doses under investigation, a non-decreasing vector of numbers.
d_star: Numeric, reference dose for calculating the covariate log(dose / d_star) when fitting the model. Sometimes (but not always) taken to be the max dose in real_doses.
target: We seek a dose with this probability of toxicity.
alpha_mean: Prior mean of intercept variable for normal prior. See Details. Also see documentation for trialr package for further details.
alpha_sd: Prior standard deviation of intercept variable for normal prior. See Details. Also see documentation for trialr package for further details.
beta_mean: Prior mean of gradient variable for normal prior. See Details. Also see documentation for trialr package for further details.
beta_sd: Prior standard deviation of slope variable for normal prior. See Details. Also see documentation for trialr package for further details.
...: Extra args are passed to stan_nbg.

an object of type selector_factory that can fit the NBG model to outcomes.

# TODO