crmsens {dfcrm} | R Documentation |
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.
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)