dtpcrm (version 0.1.1)

summary_crm: Provide a summary of applied_crm output

Description

summary_crm is used to return a dataframe of the summary of the output from applied_crm.

Usage

summary_crm(x)

Arguments

x

An object assigned to be the output from applied_crm.

Value

Dataframe of the summary of the output from applied_crm.

Details

This function takes an object of class "mtd" and produces a dataframe containing a summary of information within the object. Specifically it shows the dose levels, prior probabilities, number of evaluable patients, number of DLTs and the posterior probability estimates along with confidence/probability intervals if estimated in the underlying object.

References

O'Quigley, J. O., Pepe, M., and Fisher, L. (1990). Continual reassessment method: A practical design for phase I clinical trials in cancer. Biometrics 46:33-48.

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

Examples

# NOT RUN {
prior  <- c(0.1, 0.3, 0.5)
target <- 0.2
tox    <- c(0, 0, 1, 0, 1, 1)
level  <- c(1, 1, 1, 2, 2, 2)

crm_obj <- applied_crm(prior, target, tox, level, no_skip_esc = TRUE, no_skip_deesc = TRUE,
                       global_coherent_esc = TRUE, stop_func = NULL)

summary_crm(crm_obj)

# }