vine_predict_and_fitted {rvinecopulib} | R Documentation |
Predictions and fitted values for a vine copula model
Description
Predictions of the density and distribution function for a vine copula model.
Usage
## S3 method for class 'vine'
predict(object, newdata, what = "pdf", n_mc = 10^4, cores = 1, ...)
## S3 method for class 'vine'
fitted(object, what = "pdf", n_mc = 10^4, cores = 1, ...)
Arguments
object |
a |
newdata |
points where the fit shall be evaluated. |
what |
what to predict, either |
n_mc |
number of samples used for quasi Monte Carlo integration when
|
cores |
number of cores to use; if larger than one, computations are
done in parallel on |
... |
unused. |
Value
fitted()
and predict()
have return values similar to dvine()
and pvine()
.
Examples
x <- sapply(1:5, function(i) rnorm(50))
fit <- vine(x, copula_controls = list(family_set = "par"), keep_data = TRUE)
all.equal(predict(fit, x), fitted(fit), check.environment = FALSE)
[Package rvinecopulib version 0.6.3.1.1 Index]