powered by
Class of objects for v-transformed time series copula processes.
# S4 method for vtscopula show(object)# S4 method for vtscopula coef(object)# S4 method for vtscopula predict(object, data, x, type = "df")# S4 method for vtscopula sim(object, n = 1000)# S4 method for vtscopula kendall(object, lagmax = 20)
# S4 method for vtscopula coef(object)
# S4 method for vtscopula predict(object, data, x, type = "df")
# S4 method for vtscopula sim(object, n = 1000)
# S4 method for vtscopula kendall(object, lagmax = 20)
an object of the class.
vector of past data values.
vector of arguments of prediction function.
type of prediction function ("df" for density, "qf" for quantile function or "dens" for density).
length of realization.
maximum value of lag.
show(vtscopula): Show method for vtscopula objects
show(vtscopula)
coef(vtscopula): Coef method for vtscopula class
coef(vtscopula)
predict(vtscopula): Prediction method for vtscopula class
predict(vtscopula)
sim(vtscopula): Simulation method for vtscopula class
sim(vtscopula)
kendall(vtscopula): Calculate Kendall's tau values for vtscopula model
kendall(vtscopula)
Vcopula
object of class tscopulaU.
Vtransform
object of class Vtransform.
Wcopula
object of class tscopula.
copobject <- armacopula(pars = list(ar = 0.6, ma = 0.2)) sim(vtscopula(copobject, Vtransform = V2p())) mod <- vtscopula(armacopula(list(ar = 0.95, ma = -0.85))) kendall(mod)
Run the code above in your browser using DataLab