OneParLogNormalPrior-class: 'OneParLogNormalPrior'

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

OneParLogNormalPrior

Description

OneParLogNormalPrior is the class for a standard CRM with a normal prior on the log power parameter for the skeleton prior probabilities.

Usage

OneParLogNormalPrior(skel_probs, dose_grid, sigma2)

.DefaultOneParLogNormalPrior()

Arguments

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.

Value

an instance of the OneParLogNormalPrior class

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.

sigma2

(number)
prior variance of log power parameter alpha.

See Also

ModelLogNormal.

Examples

my_model <- OneParLogNormalPrior(
  skel_probs = seq(from = 0.1, to = 0.9, length = 5),
  dose_grid = 1:5,
  sigma2 = 2
)

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