binary_continuous_loglik: Loglikelihood function for binary-continuous copula model

In Surrogate: Evaluation of Surrogate Endpoints in Clinical Trials

Loglikelihood function for binary-continuous copula model

Description

Loglikelihood function for binary-continuous copula model

Usage

binary_continuous_loglik(para, X, Y, copula_family, marginal_surrogate)

Arguments

para	Parameter vector. The parameters are ordered as follows: para[1]: mean parameter for latent true endpoint distribution para[2:p]: Parameters for surrogate distribution, more details in ?Surrogate::cdf_fun for the specific implementations. para[p + 1]: copula parameter
X	First variable (continuous)
Y	Second variable (binary, $0$ or $1$)
copula_family	Copula family, one of the following: "clayton" "frank" "gumbel" "gaussian" The parameterization of the respective copula families can be found in the help files of the dedicated functions named copula_loglik_copula_scale().
marginal_surrogate	Marginal distribution for the surrogate. For all available options, see ?Surrogate::cdf_fun.

Value

(numeric) loglikelihood value evaluated in para.

Surrogate documentation built on Sept. 25, 2023, 5:07 p.m.