dClayton

<p>returns the density function of Clayton's copula</p>

internal

It has been designed to calculate the required sample size in randomized clinical trials with composite endpoints. It also calculates the expected effect and the probability of observing the composite endpoint, among others. The methodology can be found in Bofill & Gómez (2019) <doi:10.1002/sim.8092> and Gómez & Lagakos (2013) <doi:10.1002/sim.5547>.

Marta Roig

CompAREdesign

Statistical Functions for the Design of Studies with Composite
Endpoints

Marta Bofill Roig

Jordi Cortes Martinez

Guadalupe Gomez Melis

dClayton function

Clayton's copula — dClayton

Clayton's copula

dClayton: Clayton's copula

Description

Usage

Arguments