gumbel_loglik_copula_scale()
computes the loglikelihood on the copula
scale for the Gumbel copula which is parameterized by theta
as follows:
$$C(u, v) = \exp \left[ - \left\{ (-\log u)^{\theta} + (-\log v)^{\theta} \right\}^{\frac{1}{\theta}} \right]$$
gumbel_loglik_copula_scale(theta, u, v, d1, d2, return_sum = TRUE)
Value of the copula loglikelihood evaluated in theta
.
Copula parameter
A numeric vector. Corresponds to first variable on the copula scale.
A numeric vector. Corresponds to second variable on the copula scale.
An integer vector. Indicates whether first variable is observed or right-censored,
d1[i] = 1
if u[i]
corresponds to non-censored value
d1[i] = 0
if u[i]
corresponds to right-censored value
d1[i] = -1
if u[i]
corresponds to left-censored value
An integer vector. Indicates whether first variable is observed or right-censored,
d2[i] = 1
if v[i]
corresponds to non-censored value
d2[i] = 0
if v[i]
corresponds to right-censored value
d2[i] = -1
if v[i]
corresponds to left-censored value
Return the sum of the individual loglikelihoods? If FALSE
,
a vector with the individual loglikelihood contributions is returned.