MarginalsSelection: Marginal distributions for both components

In CompAREdesign: Statistical Functions for the Design of Studies with Composite Endpoints

Marginal distributions for both components

Description

Returns the distribution and parameters of the marginal Weibull distributions

Usage

MarginalsSelection(
  beta1,
  beta2,
  HR1,
  HR2,
  p1,
  p2,
  case,
  rho,
  theta,
  copula = "Frank"
)

Arguments

beta1	Shape parameter for a Weibull law for the relevant event
beta2	Shape parameter for a Weibull law for the additional event
HR1	Hazard Ratio for a Weibull law for the relevant event
HR2	Hazard Ratio for a Weibull law for the additional event
p1	Proportion of the relevant event expected in group zero
p2	Proportion of the additional event expected in group zero
case	Censoring case
theta	Dependence parameter for the bivariate distribution in control group
copula	Copula to use

CompAREdesign documentation built on Oct. 2, 2022, 5:08 p.m.