
ellipCopula(family, param, dim = 2, dispstr = "ex", df = 4, ...)
normalCopula(param, dim = 2, dispstr = "ex")
tCopula(param, dim = 2, dispstr = "ex", df = 4, df.fixed = FALSE)
df
will be estimated if the object is passed as argument to fitCopula
."normalCopula"
or
"tCopula"
.archmCopula
, fitCopula
.norm.cop <- normalCopula(c(0.5, 0.6, 0.7), dim = 3, dispstr = "un")
t.cop <- tCopula(c(0.5, 0.3), dim = 3, dispstr = "toep",
df = 2, df.fixed = TRUE)
## from the wrapper
norm.cop <- ellipCopula("normal", param = c(0.5, 0.6, 0.7),
dim = 3, dispstr = "un")
## 3d scatter plot of 1000 random observations
## scatterplot3d(rcopula(norm.cop, 1000))
## scatterplot3d(rcopula(t.cop, 1000))
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