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FractionalCRM

Source: R/Model-class.R
FractionalCRM-class.Rd

[Stable]

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 Yin et al. (2013) .

Usage 

FractionalCRM(...)

.DefaultFractionalCRM()

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 as skel_probs.

sigma2

(number)
prior variance of log power parameter alpha.

Note

Typically, end users will not use the .DefaultTITELogisticLogNormal() function.

References

Yin G, Zheng S, Xu J (2013). “Fractional dose-finding methods with late-onset toxicity in phase I clinical trials.” Journal of Biopharmaceutical Statistics, 23(4), 856–870. doi:10.1080/10543406.2013.789892 .

See also

TITELogisticLogNormal.

Examples 

my_model <- FractionalCRM(
  skel_probs = c(0.1, 0.2, 0.3, 0.4),
  dose_grid = c(10, 30, 50, 100),
  sigma2 = 2
)