twostep_BinCont {Surrogate} | R Documentation |
Fit binary-continuous copula submodel with two-step estimator
Description
The twostep_BinCont()
function fits the copula (sub)model fir a continuous
surrogate and binary true endpoint with a two-step estimator. In the first
step, the marginal distribution parameters are estimated through maximum
likelihood. In the second step, the copula parameter is estimate while
holding the marginal distribution parameters fixed.
Usage
twostep_BinCont(
X,
Y,
copula_family,
marginal_surrogate,
marginal_surrogate_estimator = NULL,
method = "BFGS"
)
Arguments
X |
(numeric) Continuous surrogate variable |
Y |
(integer) Binary true endpoint variable ( |
copula_family |
Copula family, one of the following:
|
marginal_surrogate |
Marginal distribution for the surrogate. For all
available options, see |
marginal_surrogate_estimator |
Not yet implemented |
method |
Optimization algorithm for maximizing the objective function.
For all options, see |
Value
A list with three elements:
ml_fit: object of class
maxLik::maxLik
that contains the estimated copula model.marginal_S_dist: object of class
fitdistrplus::fitdist
that represents the marginal surrogate distribution.copula_family: string that indicates the copula family