dfcrm: crmsens – R documentation

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crmsens

Model Sensitivity in the CRM

Evaluate the model sensitivity in the CRM by indifference intervals.

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

`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.

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.

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.

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)

Dose-Finding by the Continual Reassessment Method

v0.2-2.1

GPL-2

Authors

Ken Cheung <yc632@columbia.edu>

Initial release

2013-08-01