svine_pseudo_residuals {svines}

Pseudo-residuals of S-vine models

Description

Pseudo-residuals are defined as the Rosenblatt transform of the data, conditional on the past. Under a correctly specified model, they are approximately iid uniform on [0, 1]^d.

Usage

svine_pseudo_residuals(x, model, cores = 1)

Arguments

x

the data.

model

model inheriting from class svine_dist.

cores

number of cores to use; if larger than one, computations are done in parallel on cores batches .

Value

Returns a multivariate time series of pseudo-residuals

Examples

# load data set
data(returns)  

# convert to pseudo observations with empirical cdf for marginal distributions
u <- pseudo_obs(returns[1:100, 1:3]) 

# fit parametric S-vine copula model with Markov order 1
fit <- svinecop(u, p = 1, family_set = "parametric")

# compute pseudo-residuals
# (should be independent uniform across variables and time)
v <- svinecop_pseudo_residuals(u, fit)
pairs(cbind(v[-1, ], v[-nrow(v), ]))