FractionalCRM
is the class for a fractional CRM model based on a one
parameter CRM (with normal prior on the log-power parameter) as well as
Kaplan-Meier based estimation of the conditional probability to experience a
DLT for non-complete observations.
This fractional CRM model follows the paper and code by Guosheng Yin et al.
Arguments
- ...
Arguments passed on to
OneParLogNormalPrior
skel_probs
(
numeric
)
skeleton prior probabilities. This is a vector of unique and sorted probability values between 0 and 1.dose_grid
(
numeric
)
dose grid. It must be must be a sorted vector of the same length asskel_probs
.sigma2
(
number
)
prior variance of log power parameter alpha.
Note
Typically, end users will not use the .DefaultTITELogisticLogNormal()
function.