RuleDesign

RuleDesign is the class for rule-based designs. The difference between this class and the Design class is that RuleDesign does not contain model, stopping and increments slots.

Usage

RuleDesign(nextBest, cohort_size, data, startingDose)

.DefaultRuleDesign()

ThreePlusThreeDesign(doseGrid)

Arguments

nextBest

(NextBest)
see slot definition.

cohort_size

(CohortSize)
see slot definition.

data

(Data)
see slot definition.

startingDose

(number)
see slot definition.

doseGrid

(numeric)
the dose grid to be used (sorted).

Functions

• ThreePlusThreeDesign(): creates a new 3+3 design object from a dose grid.

Slots

nextBest

(NextBest)
how to find the next best dose.

cohort_size

(CohortSize)
rules for the cohort sizes.

data

(Data)
specifies dose grid, any previous data, etc.

startingDose

(number)
the starting dose, it must lie on the dose grid in data.

Note

Typically, end users will not use the .DefaultRuleDesign() function.

Examples

# Specify the design to run simulations. The design comprises a model,
# the escalation rule, starting data, a cohort size and a starting dose.

# Initialing a 3+3 design with constant cohort size of 3 and starting dose equal 5.
my_design <- RuleDesign(
  nextBest = NextBestThreePlusThree(),
  cohort_size = CohortSizeConst(size = 3L),
  data = Data(doseGrid = c(5, 10, 15, 25, 35, 50, 80)),
  startingDose = 5
)
# Initialing a 3+3 design with constant cohort size of 3 and starting dose equal 8.
my_design <- ThreePlusThreeDesign(doseGrid = c(8, 10, 15, 25, 35, 50, 80))