crmsens: Model Sensitivity in the CRM

Description

Evaluate the model sensitivity in the CRM by indifference intervals.

Usage

crmsens(prior, target, model = "empiric", intcpt = 3, eps = 1e-06, 
    maxit = 100, detail = FALSE)

Arguments

prior

A vector of initial guesses of toxicity probabilities associated the doses.

target

The target DLT rate.

model

A character string to specify the working model used in the method. The default model is ``empiric''. A one-parameter logistic model is specified by ``logistic''.

intcpt

The intercept of the working logistic model. The default is 3. If model=``empiric'', this argument will be ignored.

eps

Error tolerance in the computation of indifference intervals.

maxit

Maximum number of iterations in the computation of indifference intervals.

detail

If TRUE, the details of the ``H sets'' will be displayed. Default is FALSE.

Value

The function crmsens returns the model sensitivity for the model specifications given by the user.

Hset

The ``H sets'' of the model parameter.

iint

The indifference intervals of the dose-toxicity model associated with the test doses.

References

Cheung, Y. K. and Chappell, R. (2002). A simple technique to evaluate model sensitivity in the continual reassessment method. Biometrics 58:671-674.

Cheung, Y. K. (2011). Dose Finding by the Continual Reassessment Method. New York: Chapman & Hall/CRC Press.

Examples

Run this code

# NOT RUN {
prior <- c(0.05, 0.10, 0.20, 0.35, 0.50, 0.70)
target <- 0.2
foo <- crmsens(prior, target, model="logistic", intcpt=2, detail=TRUE)
# }