crmsens: Model Sensitivity in the CRM

In dfcrm: Dose-Finding by the Continual Reassessment Method

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.

See Also

crm, getprior

Examples

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)

Example output

dfcrm documentation built on May 1, 2019, 10:18 p.m.