OneParExpPrior-class: 'OneParExpPrior'

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

OneParExpPrior

Description

OneParExpPrior is the class for a standard CRM with an exponential prior on the power parameter for the skeleton prior probabilities. It is an implementation of a version of the one-parameter CRM (O’Quigley et al. 1990).

Usage

OneParExpPrior(skel_probs, dose_grid, lambda)

.DefaultOneParExpPrior()

Arguments

skel_probs	see slot definition.
dose_grid	(numeric) dose grid. It must be must be a sorted vector of the same length as skel_probs.
lambda	see slot definition.

Slots

skel_fun

(function)
function to calculate the prior DLT probabilities.

skel_fun_inv

(function)
inverse function of skel_fun.

skel_probs

(numeric)
skeleton prior probabilities. This is a vector of unique and sorted probability values between 0 and 1.

lambda

(number)
rate parameter of prior exponential distribution for theta.

Note

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

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

Examples

my_model <- OneParExpPrior(
  skel_probs = c(0.1, 0.3, 0.5, 0.7, 0.9),
  dose_grid = 1:5,
  lambda = 2
)

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