PseudoDualSimulations-class: 'PseudoDualSimulations'

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

PseudoDualSimulations

Description

This class conducts trial simulations for designs using both the DLE and efficacy responses. It defines final values for efficacy fit and DLE, estimates of Gstar, optimal dose and sigma2.

Usage

PseudoDualSimulations(
  fit_eff,
  final_gstar_estimates,
  final_gstar_at_dose_grid,
  final_gstar_cis,
  final_gstar_ratios,
  final_optimal_dose,
  final_optimal_dose_at_dose_grid,
  sigma2_est,
  ...
)

.DefaultPseudoDualSimulations()

Arguments

fit_eff	(list) see slot definition.
final_gstar_estimates	(numeric) see slot definition.
final_gstar_at_dose_grid	(numeric) see slot definition.
final_gstar_cis	(list) see slot definition.
final_gstar_ratios	(numeric) see slot definition.
final_optimal_dose	(numeric) see slot definition.
final_optimal_dose_at_dose_grid	(numeric) see slot definition.
sigma2_est	(numeric) see slot definition.
...	additional parameters from PseudoSimulations

Slots

fit_eff

(list)
final values of efficacy fit.

final_gstar_estimates

(numeric)
final Gstar estimates.

final_gstar_at_dose_grid

(numeric)
final Gstar estimates at dose grid.

final_gstar_cis

(list)
list of 95% confidence interval for Gstar estimates.

final_gstar_ratios

(numeric)
ratios of confidence intervals for Gstar estimates.

final_optimal_dose

(numeric)
final optimal dose.

final_optimal_dose_at_dose_grid

(numeric)
final optimal dose at dose grid.

sigma2_est

(numeric)
final sigma2 estimates.

Note

Do not use the .DefaultPseudoDualSimulations() function.

Roche/crmPack documentation built on June 30, 2024, 1:31 a.m.