DualEndpointEmax-class: 'DualEndpointEmax'

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

DualEndpointEmax

Description

DualEndpointEmax is the class for the dual endpoint model with Emax function for dose-biomarker relationship.

Usage

DualEndpointEmax(E0, Emax, ED50, ref_dose_emax = 1, ...)

.DefaultDualEndpointEmax()

Arguments

E0	(numeric) either a fixed number or the two uniform distribution parameters.
Emax	(numeric) either a fixed number or the two uniform distribution parameters.
ED50	(numeric) either a fixed number or the two uniform distribution parameters.
ref_dose_emax	(number) the reference dose x* (strictly positive number). Note that this is different from the ref_dose in the inherited DualEndpoint model).
...	parameters passed to DualEndpoint().

Details

This class extends the DualEndpoint class so that the dose-biomarker relationship f(x) is modelled by a parametric Emax function:

f(x) = E0 + [(Emax - E0) * (x/x*)]/[ED50 + (x/x*)],

where x* is a reference dose, E0 and Emax are the minimum and maximum levels for the biomarker, and ED50 is the dose achieving half of the maximum effect 0.5 * Emax. All parameters can currently be assigned uniform distributions or be fixed.

Slots

E0

(numeric)
either a fixed number or the two uniform distribution parameters.

Emax

(numeric)
either a fixed number or the two uniform distribution parameters.

ED50

(numeric)
either a fixed number or the two uniform distribution parameters.

ref_dose_emax

(positive_number)
the reference dose x* (note that this is different from the ref_dose in the inherited DualEndpoint model).

Note

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

See Also

DualEndpoint, DualEndpointRW, DualEndpointBeta.

Examples

my_model <- DualEndpointEmax(
  mean = c(0, 1),
  cov = matrix(c(1, 0, 0, 1), nrow = 2),
  sigma2W = c(a = 0.1, b = 0.1),
  rho = c(a = 1, b = 1),
  E0 = c(0, 100),
  Emax = c(0, 500),
  ED50 = c(10, 200),
  ref_dose_emax = 1000
)

Roche/crmPack documentation built on May 10, 2024, 9:02 p.m.