efficacyFunction: Getting the Efficacy Function for a Given Model Type

In Roche/crmPack: Object-Oriented Implementation of CRM Designs

Getting the Efficacy Function for a Given Model Type

Description

A function that returns an efficacy() function that computes expected efficacy for a given dose level, based on the model specific parameters.

Usage

efficacyFunction(model, ...)

## S4 method for signature 'ModelEff'
efficacyFunction(model, ...)

Arguments

model	(ModelEff) the model.
...	model specific parameters.

Value

A efficacy() function that computes expected efficacy.

Functions

• efficacyFunction(ModelEff):

See Also

efficacy().

Examples

my_data <- DataDual(
  doseGrid = c(0.001, seq(25, 300, 25)),
  placebo = TRUE
)

my_model <- Effloglog(
  eff = c(1.223, 2.513),
  eff_dose = c(25, 300),
  nu = c(a = 1, b = 0.025),
  data = my_data,
  const = 2
)

eff_fun <- efficacyFunction(my_model, theta1 = -4.8, theta2 = 3.7)
eff_fun(30)

Roche/crmPack documentation built on April 30, 2024, 3:19 p.m.