FractionalCRM-class: 'FractionalCRM'

In Roche/crmPack: Object-Oriented Implementation of CRM Designs

FractionalCRM

Description

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.

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.

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
)

Roche/crmPack documentation built on April 30, 2024, 3:19 p.m.