GeneralSimulations @description This class captures trial simulations. Here also the random generator state before starting the simulation is saved, in order to be able to reproduce the outcome. For this just use set.seed with the seed as argument before running simulate,Design-method.

GeneralSimulations @description This class captures trial simulations. Here also the random generator state before starting the simulation is saved, in order to be able to reproduce the outcome. For this just use set.seed with the seed as argument before running simulate,Design-method.

Usage

GeneralSimulations(data, doses, seed)

.DefaultGeneralSimulations()

Arguments

data: (list)
see slot definition.
doses: (numeric)
see slot definition.
seed: (integer)
see slot definition.

Slots

data: (list)
produced Data objects.
doses: (numeric)
final dose recommendations.
seed: (integer)
random generator state before starting the simulation.

Note

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

Examples

data <- list(
  Data(x = 1:3, y = c(0, 1, 0), doseGrid = 1:3, ID = 1L:3L, cohort = 1L:3L),
  Data(x = 4:6, y = c(0, 1, 0), doseGrid = 4:6, ID = 1L:3L, cohort = 1L:3L)
)

doses <- c(1, 2)

seed <- 123L

simulations <- GeneralSimulations(data, doses, seed)