Calculates the conditional log-likelihood of the response given the covariates.
cll(object, newdata, cores = 1)
Arguments
- object
an object of class vinereg.
- newdata
matrix of response and covariate values for which to compute
the conditional distribution.
- cores
integer; the number of cores to use for computations.
Examples
# \dontshow{
set.seed(1)
# }
# simulate data
x <- matrix(rnorm(500), 250, 2)
y <- x %*% c(1, -2)
dat <- data.frame(y = y, x = x, z = as.factor(rbinom(250, 2, 0.5)))
# fit vine regression model
fit <- vinereg(y ~ ., dat)
cll(fit, dat)
#> [1] 325.684
fit$stats$cll
#> [1] 325.684